Past Events

  • Mar
    1
    Virtual
    3:00pm - 4:00pm

    Workshop - Advanced Slurm

    This workshop is for people who are already familiar with Slurm, but would like to use Slurm’s more powerful features. Topics covered include: dependencies for conditional execution of jobs, job arrays for parameter sweeps, dealing with hundreds or thousands of small tasks, how to limit the number of jobs running at once, and how to cancel multiple jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Research
  • Mar
    1
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Sophie Bridgers, Postdoc, MIT

    Title: Social Reasoning in Action: Social-Cognitive Mechanisms Supporting Prosocial Decisions in Early Childhood

    Abstract: Each human being has their own thoughts, desires, and physical capabilities, which enables productive cooperation and collaboration integral to our species’ success. Yet, these differences also pose inferential challenges for figuring out how best to help others. What supports our ability to coordinate our individual differences to help and cooperate with one another effectively? In my dissertation, I present three sets of studies that demonstrate and interrogate how children figure out how to help others. I argue that intuitive theories – naïve understandings about how the world works and how other people act – are at the foundation of how children make prosocial decisions and take action appropriately given the context. In Study 1, toddlers use their causal knowledge to figure out why someone failed and how they should respond; in Study 2, 3-year-olds use others’ physical constraints to infer what goals others need help achieving; and in Study 3, 5- to 7-year-olds reason about others’ expected costs and rewards to make utility-maximizing decisions about what to teach and what to let learners discover. We formalize the teaching decision using a computational model, providing further insight into the details of the cognitive mechanisms that support children’s early teaching behavior. These early-emerging capacities to reason about other minds (i.e., what others know or want) and the utility of their goal-directed actions (i.e., what goals are rewarding for others to achieve and costly to achieve on their own) provide the foundations for large-scale cooperation and curation of cultural knowledge across generations that is characteristic of human societies.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Zhuoran Yang
    Princeton University
    Please Note: Brown Login Required For This Talk
    Abstract: Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical
    understandings lag behind. In particular, it remains unclear how to provably attain the optimal
    policy with a finite regret or sample complexity. In this talk, we will present the two sides of the
    same coin, which demonstrates an intriguing duality between optimism and pessimism.
    - In the online setting, we aim to learn the optimal policy by actively interacting with an environment. To strike a balance between exploration and exploitation, we propose an optimistic least-squares value iteration algorithm, which achieves a |sqrt regret in the presence of linear, kernel, and neural function approximators.
    - In the offline setting, we aim to learn the optimal policy based on a dataset collected a priori.
    Due to a lack of active interactions with the environment, we suffer from the insufficient coverage of the dataset. To maximally exploit the dataset, we propose a pessimistic least-squares value iteration algorithm, which achieves a minimax-optimal sample complexity.
    Bio: Zhuoran Yang is a final-year Ph.D. student in the Department of Operations Research and
    Financial Engineering at Princeton University, advised by Professor Jianqing Fan and Professor Han Liu. Before attending Princeton, He obtained a Bachelor of Mathematics degree from Tsinghua University. His research interests lie in the interface between machine learning, statistics, and optimization. The primary goal of his research is to design a new generation of machine learning algorithms for large-scale and multi-agent decision-making problems, with both statistical and computational guarantees. Besides, he is also interested in the application of learning-based decision-making algorithms to real-world problems that arise in robotics, personalized medicine, and computational social science.
    Host: Roberta De Vito
    More Information 
  • Feb
    26
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Ida Momennejad (Senior Reinforcement Learning Researcher, Microsoft)

    Title: Navigation Turing Test: Toward Human-like RL

    Abstract:TBD

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    26
    Virtual
    12:00pm

    Science Friday

    Are you interested in discussing ways to improve STEM education at Brown? Science Friday is a vibrant learning community, where STEM instructors and staff members share ideas, experiences, and challenges related to STEM education. Please join us for one of our upcoming sessions! Register here for this session.

    More Information 
  • Feb
    26
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Feb
    25
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Pawel Romanczuk (Humboldt Universität zu Berlin)

    Title: Collective Information Processing - Interplay of self-organization and function in collective (biological) systems.

    Abstract: Animal groups or cellular ensembles represent fascinating examples of self-organized biological systems. In contrast to non-living physical systems, self-organized biological collectives are the result of long-term evolutionary adaptations to a specific ecological niche, where collective behavior provides evolutionary benefits to individual agents. However, collective behavior is also always subject to constraints set by the interaction mechanisms and corresponding self-organized dynamical structure. My general research interest is to explore this interplay between self-organization and function in collective behavior in a variety of model systems ranging from cellular aggregates, via insect swarms to fish schools. Classical models of collective behavior often take a “bird’s-eye perspective,” assuming that individuals have access to social information that is not directly available, e.g. the behavior of individuals outside of their field of view. Despite the initial success of those models, it becomes more and more apparent that we needs to incorporate the perception of individuals, i.e., how internal and external information are acquired and processed, to obtain a deeper understanding of the proximate mechanisms underlying emergent collective behaviors as well as their functional implications. In this context, I will discuss two examples of our past research: 1) Attention trade-offs in flocking in complex environments under sensory/cognitive constraints. 2) A minimal purely vision-based model of collective movement

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: 763919

    Sparse and plastic: information coding in the mushroom body calyx of Drosophila

    More Information Biology, Medicine, Public Health, Research
  • Reusing knowledge allows intelligent systems to learn solutions to complex tasks quicker by avoiding re-learning the components of the solution from scratch. Recent advances in reinforcement-learning research have demonstrated that deep learning algorithms can solve complex tasks. However, achieving knowledge reuse characteristic of human behaviour has been elusive. Humans are adept at flexibly transferring knowledge between different tasks, whereas established reinforcement-learning algorithms are much more limited. Reusing knowledge in reinforcement-learning algorithms is a central, yet not well understood challenge. This dissertation addresses the question of which models allow an intelligent system to reuse knowledge and provides a partial solution. Viewing knowledge representations through the lens of representation learning, we show that models that are predictive of future reward outcomes implicitly encode reusable knowledge. Through a sequence of theoretical and empirical results, this dissertation discusses different state representations and presents connections to model-based reinforcement learning, model-free reinforcement learning, and successor features. Furthermore, different transfer-learning experiments are presented, demonstrating that representations that are predictive of future reward outcomes generalize across different tasks. Lastly, we introduce a clustering algorithm to learn representations that are predictive of future reward sequences for tasks with continuous state spaces. We demonstrate under which assumptions this clustering algorithm converges to an accurate model. Furthermore, on a visual control task, we demonstrate that this learned model generalizes across different tasks and can be used to accelerate learning. These results suggest that learning a model detailed enough to predict future reward outcomes prevents overfitting to one task and allows an agent to accelerate learning across previously unseen tasks.

    Host: Professor Michael Littman

    More Information 
  • Join Virtual EventInstructions: This link will become available at 4pm on 2/24/21. This talk will be recorded.

     

    ROBERT GHRIST

    Professor, Departments of Mathematics and Electrical Systems/Engineering, University of Pennsylvania

     

    OPINION DYNAMICS ON SHEAVES

    There is a long history of networked dynamical systems that models the spread of opinions over social networks, with the graph Laplacian playing a lead role. One of the difficulties in modeling opinion dynamics is the presence of polarization: not everyone comes to a consensus. This talk will describe work joint with Jakob Hansen [OSU] introducing a new model for opinion dynamics using sheaves of vector spaces over social networks. The graph Laplacian is enriched to a Hodge Laplacian, and the resulting dynamics on *discourse sheaves* can lead to some very interesting and perhaps more realistic outcomes.

     

    BIOGRAPHY

    Robert Ghrist is the Andrea Mitchell PIK Professor of Mathematics and Electrical & Systems Engineering at the University of Pennsylvania. After earning a BS in Mechanical Engineering (University of Toledo, 1991), and the MS and Ph.D. in Applied Mathematics (Cornell University, 1994, 1995), he held positions in Mathematics departments at the University of Texas (Austin), Georgia Tech, and the University of Illinois (Urbana-Champaign). He has been at Penn since 2008.

    Ghrist is a recognized leader in the field of Applied Algebraic Topology, with publications detailing topological methods for sensor networks, robotics, signal processing, data analysis, optimization, and more. He is the author of a leading textbook on the subject (Elementary Applied Topology, 2014), and has managed numerous large DoD grants from AFOSR, ASDRE, DARPA, and ONR.

    His research has been recognized with the NSF CAREER, NSF PECASE, SciAm50, and Vannevar Bush Faculty Fellow awards. Ghrist has been an invited speaker at two International Congresses of Mathematicians: once (Madrid 2006) for research and once (Seoul, 2014) for education. Ghrist is a dedicated expositor and communicator of Mathematics, with teaching awards that include the MAA James Crawford Prize, Penn’s Lindback Award, and the S. Reid Warren Award in Engineering at Penn. Ghrist is the author, designer, and animator of popular YouTube video texts (featuring the Calculus BLUE Project), as well as an online course on Coursera, featured in the New York Times, BoingBoing, and Gizmodo.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Join us for “Planning your Postdoc: A Professional Development Workshop” on Wednesday, February 24th, 3pm- 5pm via Zoom. Hosted by the Office of University Postdoctoral Affairs, Office of Corporate & Foundation Relations, and the Office of Research Development, workshop sessions will include:

    I. Strategies for a Productive Postdoc
    II. Grantsmanship for Postdocs: A high-level overview of grants & fellowships and how to get them
    III. Breakout sessions by discipline

    Speakers will include:
    • Audra Van Wart, PhD, Associate Dean for Training & Program Development, Director, Office of University Postdoctoral Affairs
    • David Loerke, MA, Associate Director, CFR
    • Alison Buckser, MPH, Associate Director, CFR
    • Rebecca Rex, MA, Associate Director, CFR
    • Rebekah McKinney, MEd, Associate Director, CFR
    • Sasha Dolgicer, MA, Director, CFR
    • Edel Minogue, PhD, Associate Director, ORD
    • Amy Carroll, PhD, Director, ORD
    • Kate Duggan, MEd, Research Development Specialist, ORD
    • Betsy Stubblefield Loucks, ScM, MBA, Research Partnerships Manager, ORD + BTI
    Registration by February 19th is required!
    Register here! More Information Graduate School, Postgraduate Education
  • Feb
    24

    Speaker: Judith Fan

    Title: Cognitive tools for making the invisible visible

    Abstract: How does the human mind transform a cascade of sensory information into meaningful knowledge? Traditional approaches focus on how people process the data provided to them by the world, yet this approach leaves aside some of the most powerful tools humans have to actively reformat their experiences, including the use of physical media to externalize their thoughts by drawing or writing. My lab aims to “reverse engineer” the core mechanisms by which employing such cognitive tools enable people to learn and communicate more effectively. Our recent work focuses on sketching, one of our most basic and versatile tools, because it also represents a key challenge for understanding how multiple cognitive systems interact to support complex, natural behaviors. This talk will highlight our recent progress, as well as open research questions in this domain.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Coming soon.

    Rapid advances in robotic technologies in the military, medicine, education, and even private homes demand a careful examination of the potentially transformative impact of robotics on society. The transformation could be positive: providing access to services previously unattainable to many individuals; raising productivity; and enhancing safety and quality of life. But the transformation could also be negative: restricting access to services to only those who can afford or operate new technology; replacing whole segments of the human workforce, and endangering people’s psychological safety through deceptive attachments to robot partners. This symposium will bring together scholars and practitioners from multiple disciplines to examine the difficult questions: What are our obligations to shape this transformation to be positive? How can we contribute to such a positive shaping? And what legal and ethical norms may have to be established to foster a harmonious growth toward a future society with robots?

    Register for the event at: https://accelevents.com/e/SIRoS

    SIRoS registration link More Information computer science, robotics
  • Feb
    24
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Judith Degen (Associate Professor - Stanford)

    Title: Towards a unifying computational account of reference production and comprehension

    Abstract: Psycholinguistics is replete with puzzling empirical patterns of reference production and comprehension, many of them seemingly at odds with each other. In comprehension, much work has focused on listeners’ propensity to derive so-called “contrastive inferences:” anticipatory inferences from the observation of a modifier in a partial utterance like “Click on the big” to the conclusion that the intended target must be a member of a contrast pair of objects of the same type in the visual context. This has been taken as evidence for listeners’ sophisticated and rapid pragmatic reasoning about speakers’ adherence to the Gricean Quantity-2 maxim, to be no more informative than necessary. But contrastive inferences are sensitive to a number of factors, including adjective type (contrastive inferences sometimes arise for relative, but not absolute adjectives; sometimes the opposite pattern holds) and feature diagnosticity (contrastive inferences are more likely for color-diagnostic objects like bananas, but not for non-color-diagnostic ones like cups).

    In production, the focus has been on so-called “overinformative” referring expressions, which appear to violate the Quantity-2 maxim: speakers routinely produce modifiers that aren’t strictly speaking necessary for the purpose of uniquely establishing reference. But like contrastive inferences, overmodification is modulated by many factors. These include adjective type (more overmodification with color than size or material adjectives), scene variation (more overmodification in the context of more variable visual displays), property typicality (more overmodification in reference to objects with more atypical properties), object type (more overmodification with clothes than fruit), and language (more overmodification in English than Spanish).

    In this talk, I propose that the tension between the systematic apparent violations of Quantity-2 in production and the sophisticated (albeit fragile) reasoning that assumes adherence to Quantity-2 in comprehension can be resolved by modeling the link between production and comprehension of referring expressions in a principled way within the Rational Speech Act framework, which treats language use as iterated probabilistic reasoning. I further show that many of the previously observed empirical patterns straightforwardly fall out of the account.”

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: This link will become available at 10:00 am on 2/24. This talk will be recorded.

     

    PONTUS SKUGLAND

    Group Leader, Ancient Genomics Laboratory, Crick Institute

    TRACKING THE GENOMIC HISTORY OF DOGS AND HUMANS

    Dogs were the first domestic animal, but little is known about their population history and to what extent it was linked to humans. I will discuss recent evidence from ancient dog genomes of limited gene flow from wolves since domestication, but substantial dog-to-wolf gene flow. By 11,000 years ago, at least five 5 major ancestry lineages had already diversified, demonstrating a deep genetic history of dogs during the Paleolithic. Co-analysis with human genomes reveals aspects of dog population history that mirror humans, including Levant-related ancestry in Africa and early agricultural Europe. Other aspects differ, including the impacts of steppe pastoralist expansions in West- and East Eurasia, and a complete turnover of Neolithic European dog ancestry. 

     

    BIOGRAPHY

    Pontus Skoglund is the group leader of the Francis Crick Institute’s Ancient Genomics laboratory. Originally from Sweden, he obtained his Ph.D. in evolutionary genetics from Uppsala University in 2013 and thereafter did his postdoctoral research in David Reich’s laboratory at Harvard Medical School’s Department of Genetics.

    His past research has focused on propelling the field of ancient DNA into the genomic era, revealing population migrations as catalyzers for the transition from hunter-gatherer lifestyles to agriculture in Europe, Africa, and Southeast Asia. He has also studied gene flow between archaic-and-modern humans, early human evolution in Africa, the peopling of the Americas, and the origin of domestic dogs.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Feb
    23
    Virtual
    3:00pm - 4:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Neil Lewis Jr (Assistant Professor, Cornell University & Weill Cornell Medicine)

    Title:  Looking Back to Move Forward: Long-term Effects of Segregation on Perception, Action, and Cognition

    Abstract: The United States has long been, and continues to be, a highly segregated society. When societies separate groups of people in the ways that we do in the U.S., that separation has not only economic, political, and sociological consequences, it also affects the psychology of the people in those societies due to social cognitive processes. In this talk, I will share recent findings from my program of research that has been using the United States as a context to examine how patterns of segregation and other forms of social stratification seep into the mind and affect how people perceive and make meaning of the world around them. I will also discuss the consequences of those meaning-making processes for people’s judgments, motivations, and decisions, particularly in the domains of education, health, and environmental sustainability. I will conclude with implications of this research for psychological theories, and the practical application of those theories.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    23

    Join the Carney Institute for Brain Science for a conversation about COVID-19’s effects on the brain, featuring Dr. Karen Furie, a professor of clinical neuroscience at Brown University, chair of the Department of Neurology and a neurologist at Rhode Island Hospital. 

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous conversations on the Carney Institute website.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 164719

    Join the Carney Institute for the Brain Science for its External Postdoc Seminar Series (BrainExPo), featuring Allan-Hermann Pool, Ph.D., postdoctoral researcher at the California Institute of Technology. 

    Abstract: Animal behavior is governed by innate and hardwired biological drives. Allan-Hermann Pool will describe a single cell RNA-sequence based stimulus-to-cell-type mapping approach for scalable mapping of these drive states to the underlying neural circuitry. He will also outline how this information can be used to functionally reprogram circuits governing innate motivations.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Feb
    22
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Dorsa Amir, Postdoc,  Boston College

    Title: The Development of Decision-Making Across Diverse Cultural Contexts

    Abstract: The human behavioral repertoire is uniquely diverse, with an unmatched flexibility that has allowed our species to flourish in every ecology on the planet. Despite its importance, the roots of this behavioral diversity — and how it manifests across development and contexts — remain largely unexplored. I argue that a full account of human behavior requires a cross-cultural, developmental approach that systematically examines how environmental variability shapes behavioral processes. In this talk, I use the development of decision-making across diverse contexts as a window into the relationship between the socioecological environment and behavior. First, I present the results of a cross-cultural investigation of risk and time preferences among children in India, Argentina, the United States, and the Ecuadorian Amazon, suggesting that market integration and related socioecological shifts lead to the development of more risk-seeking and future-oriented preferences. Second, I present the early results of a six-culture investigation into the ontogeny of social preferences — namely, trustworthiness, forgiveness, and fairness. Taken together, these studies help elucidate the developmental origins of behavioral diversity across cultural contexts, and underscore the utility of interdisciplinary research for explaining human behavior.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Please register using the link in the text below to receive the Zoom link prior to the talk.

     PLEASE NOTE THAT THIS TALK IS FOR FACULTY ONLY.



    Register in advance for this meeting:
    https://brown.zoom.us/meeting/register/tJIocO-rrDgpHdzxRKvkqbRYLqK_i10i787E

    After registering, you will receive a confirmation email containing information about joining the meeting.

     

    RITAMBHARA SINGH

    Assistant Professor, Computer Science; Faculty, CCMB, Brown University

     

    TOWARDS DATA INTEGRATION IN GENOMICS USING MACHINE LEARNING

    Our current understanding of how genes are regulated is akin to solving a jigsaw puzzle. Many factors governing gene expression have been identified and researchers have collected a wide variety of related datasets. However, how these “parts” are pieced together to function as a whole remains unclear. In this talk, I will be discussing our research to develop and apply state-of-the-art machine learning methods to genomics datasets to attempt to put together the pieces from the data. I will discuss our work using deep learning architecture that captures the data’s underlying structure to integrate datasets and connect them to gene expression via the prediction task. We also interpret the prediction results and tie them back to contributing factors to develop potential hypotheses related to gene regulation. I will then move from bulk data to the single-cell data domain discussing methods to perform unsupervised integration of different types of single-cell experiments. This talk aims to highlight our research direction’s potential to reveal the important gene regulatory mechanisms in characterizing diseases from the collected data.

    BIOGRAPHY

    Ritambhara Singh is an Assistant Professor of the Computer Science department and a faculty member of the Center for Computational Molecular Biology at Brown University. Her research lab works at the intersection of machine learning and biology. Prior to joining Brown, Singh was a post-doctoral researcher in the Noble Lab at the University of Washington. She completed her Ph.D. in 2018 from the University of Virginia with Dr. Yanjun Qi as her advisor. Her research has involved developing machine learning algorithms for the analysis of biological data as well as applying deep learning models to novel biological applications.

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing and otherwise displaying the recording, within its sole discretion.

     

    Fair February

    This is an opportunity for faculty to share current data science-related research activities with other faculty colleagues in an informal and interdisciplinary environment. More about this series on our websiteThis event is organized by Professor Meenakshi Narain, DSI Advisory Board Co-chair.

    More Information 
  • Join Virtual EventInstructions: Zoom Registration Required

    I2S2 Seminar

    D2R and EHRs: A success Story from an Academic Healthcare Setting

     

    Featuring Dr. Fizza Gillani, PhD, CPEHR

    Picture of Dr. Fizza Gillani, Associate Professor of Medicine (Research), Warren Alpert Medical S...Picture of Dr. Fizza Gillani, Associate Professor of Medicine (Research), Warren Alpert Medical School, Brown University;Informatics Director for HIV/AIDS Program, Providence-Boston Center for AIDS Research, and the Ryan White Program; and Senior Research Scientist at Lifespan.

    HIV Care Continuum requires a multidisciplinary approach to achieve clinical outcomes that help control HIV disease progression. To track these outcomes, we need a robust informatics system with a clearly defined Data to Research and Reporting (D2R) approach to make use of different Electronic Health Records (EHRs). The Ryan White-funded Miriam Hospital Immunology Center (MIC) is part of an academic medical system with more than 15,000 employees, 4 hospitals, and a well-established Information System department. To support the MIC HIV program, a robust HIV-specific Immunology Center Database (ICDB) was created in 2003. The ICDB system is an example of how carefully planned data systems built around existing health IT infrastructure provide evidence of best practices, measure performance as feedback for healthcare systems, and advance us closer to realizing the vision of a learning health system. ICDB in its current format is centered on the system-wide electronic health record and technology platforms, supporting reporting and research requirements determined by the federal Ryan White program, different funding mechanisms, and local governments.

    This presentation will demonstrate how carefully integrated information systems can achieve the goals of tracking progress of healthcare outcomes, properly initiating quality initiatives, generating performance measures, supporting accurate government reporting, and expediting research initiatives.

     

     

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Feb
    19
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Feb
    18
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Roland Fleming (Associate Professor - Giessen University)

    Title: Learning to See Stuff

    Abstract: Under typical viewing conditions, humans effortlessly recognize materials and infer their properties at a glance. Without touching materials, we can usually tell what they would feel like, and we enjoy vivid visual intuitions about how they are likely to respond if we interact with them. These achievements are impressive because the retinal image of a material results from extremely complex physical processes (e.g. sub-surface light transport; visco-elastic fluid flow). Due to their extreme diversity, mutability and complexity, materials represent a particularly challenging class of visual stimuli, so understanding how we recognize materials, estimate their properties, predict their behaviour, and interact with them could give us more general insights into visual processing. What is ‘material appearance’, and how do we measure it and model it? How are material properties estimated and represented? Discussing these questions causes us to scrutinize the basic assumptions of ‘inverse optics’ that prevail in theories of human vision, and leads us to suggest that unsupervised learning may explain aspects of how the brain infers and represents material properties. Consistent with this idea, I will present some recent work in which we show that an unsupervised network trained on images of surfaces spontaneously learns to disentangle reflectance, lighting and shape. More importantly, we find that the network not only predicts the broad successes of human gloss perception, but also the specific pattern of errors that humans exhibit on an image-by-image basis. These findings should hopefully be of interest to psychologists, neuroscientists, philosophers and AI / machine learning researchers.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Link will be available beginning at 4:00pm on Wednesday, 17 February.
     
     
    KELLEY HARRIS

    Assistant Professor, Department of Genome Sciences, University of Washington-Seattle

    A WILD-DERIVED MUTATOR ALLELE DRIVES MUTATION SPECTRUM DIFFERENCES AMONG COMMON LABORATORY MOUSE STRAINS

    Although eukaryotic genomes are safeguarded by hundreds of DNA replication and repair genes, it has proven difficult to study the functional consequences of variation within the sequences of these genes. Some large-effect DNA repair gene variants are known to cause heritable cancer syndromes and accelerate somatic mutagenesis, but it is not known whether such variants might cause germline mutation rates to vary within populations. We performed a QTL scan for germline mutator alleles in a uniquely powerful vertebrate system: a panel of 98 recombinant mouse strains that have each been inbred in captivity for up to 45 years, accumulating many generations’ worth of de novo mutations on known genetic backgrounds. The scan identified a locus that strongly affects the rate of C>A germline mutation accumulation, specifically in the sequence contexts CA>AA and CT>TT. We identify candidate causal variation in the gene Mutyh, which causes a human cancer syndrome associated with a similar mutational signature. This Mutyh variation also segregates in wild populations of Mus musculus domesticus, where it may be shaping the accumulation of natural genetic variation.

    BIOGRAPHY

    Kelley Harris is an Assistant Professor in the Department of Genome Sciences at the University of Washington in Seattle. 

    She uses population genetic theory and high-throughput biological sequence analysis to study recent evolutionary history in humans and other species. One of her primary research interests is the evolution of mutagenesis; she wants to understand the forces that control DNA replication fidelity, the mutational breakdown of established traits, and the ultimate origin of new traits. Her lab will work to decipher how variations are genetically and environmentally determined and what evolutionary pressures (such as cancer, congenital disease, or life history) might be driving mutagenesis to change.

    She is also broadly interested in the impact of demography, inbreeding, and hybridization on the dynamics of natural selection, particularly in the wake of gene flow between humans, Neanderthals, and other extinct hominids. Harris has developed a variety of computational methods for inferring population bottlenecks, divergence times, and admixture events at high resolution, and has written about the impact of Neanderthal interbreeding on the fitness of archaic and modern humans. Her group will continue developing new statistical models that refine our understanding of how genomes and populations evolve, using methods derived from coalescent theory to visualize and extract the information contained in huge databases of whole genomes.

    She accepts graduate students through UW’s Genome Sciences Ph.D. program and is looking for motivated postdoctoral fellowship candidates with experience in bioinformatics and/or population genetics.

     

    Please note that this virtual event, including attendees’ Zoom video, audio and screen name, and questions or chats, will be recorded. All or portions of the event recording may be shared through Brown University’s digital channels. Individuals who do not want their identities to be captured are solely responsible for turning off their camera, muting their microphone, and/or adjusting their screen name accordingly. By attending this event, you consent to your name, voice, and/or image being recorded and to Brown University reproducing, distributing, and otherwise displaying the recording, within its sole discretion.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information 
  • Feb
    17
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Kathleen Hall (Associate Professor - University of British Columbia)
    Title: Testing “Message-Oriented” Phonology in the Signed Modality

    Abstract: In this talk, I will explain the general principles of “Message-Oriented” phonology (MOP), in which language is situated as part of a communication system, and phonology arises at least in part due to pressures to communicate meaningful units both accurately and cost-effectively. I will consider the various predictions such an approach makes for phonological structures, and then show how those predictions can be usefully tested by comparing spoken to signed languages. In the course of that discussion, I will introduce some of the specific tools we have been developing at UBC to help facilitate such testing.
    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join us for this 3-part series exploring qualitative methods around the topics of design thinking, rapid ethnography, and concept mapping.

    Wednesday, February 17, 2021

    The Power of Designing with Patients

    Aaron J. Horowitz
    Co-Founder & CEO
    Sproutel

    Aaron is a maker; from sculptures to business, he is fascinated with the process of taking an idea from concept to reality. His experience growing up with human growth hormone deficiency inspired a desire to bring empathy, design, and a patient-centered mindset to healthcare. He is the co-founder and CEO of Sproutel, a research and development workshop focused on creating play-based healthcare innovations. Sproutel is best known for their work collaborating with Aflac to create My Special Aflac Duck, a robotic companion for children with cancer!

    Register now! More Information Biology, Medicine, Public Health, Entrepreneurship, Psychology & Cognitive Sciences, Research, Training, Professional Development
  • The February Providence Sleep Research Interest Group Seminar will feature Dr. Ruth Benca, M.D., Ph.D., professor and chair of the Department of Psychiatry and Human Behavior at the School of Medicine, University of California, Irvine. Dr. Benca’s presentation is entitled “Sleep and Psychiatry.”

    Abstract:

    In this presentation, I will review relationships between sleep and rhythms disturbances and psychiatric disorders, including local sleep EEG changes in psychiatric disorders. The effects of treating these disturbances on psychiatric outcomes will also be discussed.

    About the seminar series:

    The PSRIG seminar series has been hosted by Dr. Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research. If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected].

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Feb
    12
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Emily Levin (PhD student at Brown)

    Title: Predicted utility influences fidelity of WM representations

    Abstract: Working memory (WM) is a capacity-limited system that requires control processes to manage what information enters memory (“input gating”) and to select what information guides a response (“output gating”). Gating mechanisms are important because they mediate the balance between the predicted utility of an item and our limited memory capacity. For example, input gating proactively updates information to memory that has been deemed 100% relevant to the task (high predicted utility) and filters information that is irrelevant. Conversely, output gating manages the contents of VWM when relevance is known only after encoding. That is, when items must be remembered even though their relevance is uncertain. The present experiments investigated 1) how priority impacts precision of information independent of load in behavior, and 2) how predicted utility influences the fidelity of WM representations in the brain. For the first experiment, we had participants perform a WM gating task and measured the effects of input gating vs. output gating on precision. For the second experiment, participants performed the WM gating task in the fMRI scanner across two sessions. We used a Bayesian approach to compute the full probability distribution of the stimuli given the BOLD data during input gating events. This approach allowed us to reconstruct the orientations that participants saw in the scanner and estimate both the precision and accuracy of remembered orientations. We observed higher fidelity for items input gated with 100% certainty relative to 50% certainty and 0% certainty. These results suggest that the precision of information held in VWM tracks predicted utility.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Zoom Registration Required

    Highlights from the Advance-CTR Informatics Core: REDCap and N3C

     

    Dr. Karen Crowley, Manager of Health Data Science, Advance-CTR Informatics Core and the Brown Center for Biomedical Informatics, will provide an overview of the services and resources available through the Informatics Core with a special focus on our unique implementation of REDCap, a secure web application for building and managing online surveys and databases. She will also highlight N3C, the National COVID Cohort Collaborative, how Advance-CTR is participating and the plan to support researchers who wish to access this unique dataset.

     

    Dr. Karen M. Crowley is Manager of Health Data Science for the Brown Center for Biomedical Informatics (BCBI) and the Advance-CTR Biomedical Informatics, Bioinformatics, and Cyberinfrastructure Enhancement (BIBCE) Core. Dr. Crowley holds a Master of Science degree in Organizational Behavior and is a formally trained biomedical informatician with a PhD from the University of Utah. With experience in both industry and academia, Dr. Crowley has a special interest in applying her expertise in healthcare data, computing, and technology as well as organization dynamics and processes in support of the Learning Health System.

     

    The Informatics and Implementation Science Learning Series (I2S2) covers the breadth of topics in effectively using data and technology to advance biomedical discovery and healthcare delivery. Each learning activity (seminar, journal club, workshop, or tutorial) features methods, applications, or resources that are aligned with components of a learning health system. This series is a joint initiative between the Brown Center for Biomedical Informatics, Brown Department of Psychiatry and Human Behavior Implementation Science Core, Rhode Island Quality Institute, and Advance Clinical and Translational Research (Advance-CTR).

    Part of Love Data Week, February 8-12, 2021: Data: Delivering a Better Future More Information Biology, Medicine, Public Health, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research
  • Feb
    12
    Virtual
    12:00pm

    Science Friday

    Are you interested in discussing ways to improve STEM education at Brown? Science Friday is a vibrant learning community, where STEM instructors and staff members share ideas, experiences, and challenges related to STEM education. Please join us for one of our upcoming sessions! Register here for this session.

    More Information 
  • Feb
    12
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 451768

    Join the Carney Institute for Brain Science in conjunction with Love Data Week for a Carney Methods Meetup, an informal gathering focused on methods for brain science, on Thursday, February 11, at 3 p.m.

    This event will be moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience, and feature Samuel Watson, director of graduate studies for the Data Science Initiative.

    Please note, this workshop requires you to be logged into Zoom through your Brown account.

    Notes from previous Meetups are available online.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research, Teaching & Learning
  • Feb
    11
    Virtual
    2:00pm - 3:00pm

    Research Misconduct

    Research Integrity in the Era of COVID-19
    The COVID-19 pandemic presents unique challenges related to research integrity and heightened pressures that could lead to questionable research practices. This session will examine trends in COVID-19 related research in the current research environment and ways to mitigate risk of research misconduct.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Graduate School, Postgraduate Education, IRB, ORI, OVPR, Research
  • Feb
    11
    Join Virtual EventInstructions: For passcode, contact [email protected]

    Thursday, Feb. 11, 1:00 PM

    Joseph A. Baur, PhD

    Department of Physiology

    Perelman School of Medicine

    University of Pennsylvania

    Philadelphia, PA

     

    “Manipulating NAD+ metabolism in mammalian tissues and mitochondria”

     

    Nature. 2020 Dec;588(7836):174-179. doi: 10.1038/s41586-020-2741-7.

     

    https://www.med.upenn.edu/apps/faculty/index.php/g275/p8216891

    More Information 
  • Feb
    11
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: TBD

    Title: TBD

    Abstract:TBD

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    11

    The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    February

    Details: February 11, 2021 at 12 p.m. ET.

    Learn More More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Entrepreneurship, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Teaching & Learning, Training, Professional Development
  • Join Kate Duggan, Research Development Specialist in OVPR, to learn strategies for researchers to find and evaluate funding opportunities, with a focus on the grants.gov and SPIN databases. Learn where grant opportunities are listed, tips for refining your searches, how to pinpoint the opportunities that are most relevant to you, and how to assess whether they are a good fit.

    Learn More More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Humanities, IRB, Libraries, Mathematics, Technology, Engineering, ORI, OVPR, RCR, Research, Teaching & Learning, Training, Professional Development
  • Join Virtual EventInstructions: friedman

    Speaker: Steven Roberts

    Title: Racism: A Developmental Story


    Abstract: Racism – often conceptualized as disliking or mistreating others because of their race – is a system of advantage based on race. In this talk, I will share my personal and professional experiences within this system, and highlight how the two have developed hand in hand. Specifically, I will address racism in our categories, churches, relationships, and science. In doing so, I will aim to make three broader points. First, racism shapes our lives in ways that are often unappreciated and unrecognized. Second, racism shapes our lives from childhood well into adulthood and beyond. Third, our own experiences with racism (and race) inform who and what we study. I will conclude, as a human and as a psychologist, with recommendations for an anti-racist future.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join us on Wednesday, February 10th for a seminar series presentation, “Clinical Data Science: The Here and Now to Infinity and Beyond,” with Kristina Steinberg, MD, MMCi. From quality measures to predictive modeling, data science methods and techniques are helping to transform the US healthcare system. As a physician data scientist, Dr. Steinberg relies on her clinical knowledge when working with big data to unearth the stories and trends that lead to improved outcomes. In this presentation, Dr Steinberg will review topics and trends in data science that are currently being used with big healthcare data and explore the emerging topics and trends.

    Dr. Steinberg is a physician data scientist solving complex problems in the healthcare industry. Dr. Steinberg trained at top tier medical institutions, including Duke University, Yale University, & University of Texas Southwestern.

    More Information 
  • Feb
    10
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Jed Pizarro-Guevara (Postdoc, UMass Amherst)

    Title: Processing (a)symmetries in relative clauses: Tagalog as a case study
    Abstract: One of the core findings in relative clause (RC) processing research is that RCs with object gaps (ORCs; The reporter that the senator attacked…) are more difficult to process than RCs with subject gaps (SRCs; The reporter that attacked the senator…). This asymmetry holds robustly across typologically different languages using a variety of behavioral and neural measures. There are two related strands of research in RC-processing: one strand focuses on when this asymmetry holds and proposes various ways to account for it; and the other focuses on when this asymmetry breaks down. In this talk, I use Tagalog as a case-study to examine if and when this asymmetry holds. I ask whether ORCs are harder to process than SRCs in a language that has both head-initial and head-final RCs; and if so, whether other factors (e.g., this RC/head word order flexibility or the pronominality of the co-argument) can affect the asymmetry. Across three picture-selection experiments, I show that Tagalog exhibits the classic asymmetry and that this can be attenuated/neutralized by (i) the referential status of the co-argument, and (ii) the relative order of the head and the RC. I also show that these results cannot be accounted for by any single class of proposal. I argue that we should view the asymmetry as a composite phenomenon and treat the various classes of proposals as different sources of information that we as comprehenders must then coordinate when we’re processing RCs.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    10
    Join Virtual EventInstructions: dphb

    Integrating Science and Practice in the Treatment of Youth Anxiety and OCD – A Brief History of PARC
    Jennifer Freeman, Ph.D.
    Professor (Research)
    Alpert Medical School of Brown University
    Director of Research and Training
    Pediatric Anxiety Research Center

    and 


    Abbe Marrs Garcia, Ph.D.
    Associate Professor (Clinical), DPHB
    Alpert Medical School of Brown University
    Clinical Director
    Pediatric Anxiety Research Center at Bradley Hospital

    More Information 
  • Feb
    9
    Virtual
    4:00pm

    Biology of Aging PAARF

    Join Virtual EventInstructions: Contact [email protected] for passcode

    Jiwon Seo

    Sedivy

    Brett Baggett

    Koren

    More Information 
  • Collaborating across the globe is more critical to scientific progress than ever, and also easier than ever thanks to online tools. Join Torrey Truszkowski and Juliane Blyth from the Office of Research Integrity for a discussion about how to protect your data and ideas when shared internationally. We will also discuss how research data can range from non-restricted to highly restricted within the context of U.S. export control regulation, and what to look out for to ensure you and your collaborators do not run afoul of University policies and federal regulations.

    Learn More More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Humanities, IRB, Libraries, ORI, OVPR, Research, Training, Professional Development
  • Feb
    9
    Virtual
    11:00am - 12:00pm

    Extending Evidence to a Target Population

    Researchers are often interested in extending (generalizing or transporting) findings to a target population of substantive interest. Examples include estimating how effective a treatment is or how well a prediction model performs when applied to a different population then was used for original treatment effect estimation or prediction model development. In this talk, I give a high level overview of evidence extension and provide an example of estimating how a lung cancer risk prediction model performs when deployed in a more racially diverse population than was used to develop the model.

    Learn More More InformationRegistration for this event is now closed. 
  • Are you curious about how Data Use Agreements (DUAs) are being used to facilitate research on today’s hot topics? Jen Welch will discuss DUAs Brown has signed for data related to research on topics such as COVID-19, the opioid crisis, and racial disparities.

    Learn More More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, IRB, ORI, OVPR, Research
  • Sheila Vandal, IRB Manager, will introduce you to IRB Authorization Agreements (IAAs) for collaborative research. She will walk you through the steps of establishing a reliance agreement from determining engagement to navigating the submission process. You’ll leave with strategies for quicker turnaround times and realistic expectations for your study’s pending partnerships.

    Learn More More InformationRegistration for this event is now closed. Graduate School, Postgraduate Education, IRB, ORI, OVPR, Research, Teaching & Learning
  • Join Mark Dieterich, Director of IT Security, Linnea Wolfe, Assistant CIO of Infrastructure and Research Computing, and Mete Tunca, CIS’ Assistant Director of Research Services for an overview of CIS’ security and contract review processes that ensure appropriate protections are in place and requirements are met. The session will include a look at Brown’s data risk classification system and time for your questions.

     Register now for this event.

    More Information 
  • Feb
    8
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Melissa Koenig (University of Minnesota)

    Title: A Framework for Testimonial Learning: Judgments of Epistemic and Moral Agency

    Abstract: Children’s testimonial learning involves an increasingly sophisticated conception of human agency. Children’s interpretation of human error – and perhaps anomalous behavior of all kinds – instigates a form of inferential reasoning aimed at identifying the intentions of agents. Likewise, children’s interpretation of interpersonal actions depends on discerning the harmful or helpful intentions of agents. In this talk, I’ll argue that children’s testimonial learning is governed by (1) epistemic norms, taking a critical view of the evidence and the reliability of sources; and by (2) interpersonal norms, taking a cooperative view of another person and her acts of communication. Children’s testimonial reasoning involves treating people as agents who do things intentionally and who can be held accountable for these actions.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Passcode: 718382

    Join the Moore Lab for a seminar on beta burst dynamics in cortico-subcortical circuits, featuring Darcy A. Diesburg, a graduate student at the University of Iowa.

    Abstract: Dominant neuroanatomical models theorize that movement regulation is implemented via loop-like cortico-subcortical networks, prominently featuring the subthalamic nucleus (STN), thalamus, and sensorimotor cortices (M1). Inhibitory commands across these networks are purportedly sent via transient, burst-like signals in the β frequency (15-29Hz). However, human depth-recording studies are typically limited to one recording site. Therefore, there is currently a lack of direct evidence for this model in humans.

    In this seminar, I will focus on a recent study in which we performed simultaneous multi-site depth-recordings from M1 and either STN or thalamus in humans that performed the stop-signal task. In line with their purported function as inhibitory signals, subcortical β-bursts were increased on successful stop-trials. In line with the proposed network-wide effects, these subcortical bursts were then rapidly followed by increased β-bursting in M1. Moreover, between-site comparisons (including in a patient with simultaneous recordings from all three sites) showed that β-bursts in STN precede thalamic β-bursts, confirming another core prediction of existing models of inhibitory motor control.

    Together, these findings provide the first empirical evidence for the role of β-bursts in conveying inhibitory commands along long-proposed cortico-subcortical networks underlying movement regulation in humans. Looking forward from these findings, I will then discuss planned studies that aim to further parse the role of β-bursts during movement regulation and explain how the study of these signals provides promising avenues of research for studying inhibitory control more broadly.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Feb
    5
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Natalia Vélez (Postdoc at Harvard)


    Title: Cognitive foundations of collaboration

    Abstract: By collaborating with others, humans can achieve goals that are beyond the reach of a single person; no one can play a symphony, build a city, or carry a couch down a flight of stairs entirely on their own. How do humans combine their limited knowledge and capabilities into something greater than the sum of its parts? My work explores this question at two levels of analysis. First, my work seeks to understand how individuals navigate collaborations. I will present a series of studies that examine how preschool-aged children and adults make inferences about others from sparse data, and how adults combine their own incomplete knowledge with imperfect yet complementary advice from others. Second, my work examines how division of labor across communities contributes to the success of collaborations. I will present results from a recent study that leverages a large, naturalistic dataset to examine how division of labor within communities supports innovation.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    5
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Feb
    4
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: TBD

    Title: TBD

    Abstract: TBD

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Professor Malú Gámez Tansey from the University of Florida will present “Targeting Chronic Neuroinflammation to Reduce Risk for Alzheimer’s Disease”. This lecture is part of the 2021 Pathobiology Graduate Program Spring Seminar Series.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education
  • Feb
    4

    Center for Biomedical Engineering Seminar

    Title: Using Advanced Non-Invasive Imaging Techniques to Interpret Brain Structure and Function

    Abstract: Severe vascular diseases, like stroke, lead to devastating, life-altering neural effects and frequently can result to loss of life. In critical stroke cases, neuroimaging is required to classify the stroke type and bleeding location to quickly determine the most effective treatment. Currently, functional MRI is the gold standard of hemodynamic imaging for investigating brain activity through changes in the blood flow. Despite significant progress made in disease awareness, detection, and treatment, there are limits in our fundamental understanding of vasculature dysfunction and brain abnormalities due to disease burden making this a vital area for exploration.

    In this talk, I will share how ultrahigh field (UHF) MRI techniques have improved the detection of human disease and tissue damage by overcoming the challenges of UHF MRI. Advances in the development of radiofrequency (RF) instrumentation and RF safety assessments has resulted in the visualization of the human brain anatomy up to 100 micrometers. I will discuss how designing a 3D printed phantom contributed to improving RF instrumentation. I will emphasize the importance in using technology to study neural impairments and its associated biomarkers. I will discuss how near infrared light can be used to study and quantify physiological mechanisms that indicate cerebral health. I will conclude why using multi-modal hemodynamic and neural imaging can advance the management of vascular diseases with neural effects and neural disorders.

    More Information 
  • Join Virtual EventInstructions: 592808

    Title:  TBA

    More Information Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: Meeting ID: 916 7207 6837

     “Gut Dysbiosis and the “Micro-Gut-Brain Axis” among Elders with Alzheimer’s Disease”

    John P. Haran, MD, PhD

    Associate Professor Dept. of Emergency Medicine

    Dept. of Microbiology and Physiological Systems

    Clinical Director of the Center for Microbiome Research

    University of Massachusetts Medical School

    Time:
    1:00pm - 2:00pm EDT
    Sponsor:
    The Norman Prince Neurosciences Institute In Association with: The Rhode Island Hospital Alzheimer’s Disease & Memory Disorders Center
     

    February 3, 2021

    1 to 1:30 PM

     

    via Zoom  

    https://brown.zoom.us/j/91672076837

     

    Meeting ID: 916 7207 6837

    More Information Biology, Medicine, Public Health, neurology, Psychology & Cognitive Sciences, Research
  • Feb
    3
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Dr Yoolim Kim (Postdoc, Max Planck Institute for the Science of Human History)

    Title: Is the mental representation of a bi-scriptal language enriched by multiple orthographic inputs?

    Abstract: Numerous studies have been devoted to understanding the precise nature of lexical representations in the mental lexicon, but primarily through the lens of English or other languages with Latinate-based writing systems (Rumelhart & McClelland, 1982; MarslenWilson, Tyler, Waksler, & Older, 1994). There has also been increasing theoretical interest in understanding exactly how information of multiple orthographic inputs is encoded, but the literature remains limited to bilinguals of languages with completely different orthographies (e.g., Hoshino & Kroll, 2008, for Japanese-English; Marian & Spivy, 2003, for RussianEnglish; Bowers, Mimouni, & Arguin, 2000, for Arabic-French). It may be the case that orthographic representations reflect critical aspects of writing systems, and that for bi-scriptal lexicons, orthographic representations are enriched by the contributions of multiple scripts. One of the few opportunities to explore the representations of different writing systems belonging to the same language is Korean.

    Korean can be transcribed in two different scripts, one alphabetic (Hangul) and one logographic (Hanja). How does the mental lexicon represent the contributions of both scripts? Hangul’s highly transparent one-to-one relationship between spellings and sounds means that there are many cases where homophones in the spoken language remain homophones (and also homographs) in Hangul, but are disambiguated through Hanja. We thus tested whether native speakers encoded the semantic contributions of the different Hanja characters sharing the same homographic form in Hangul in their mental representation of Sino-Korean. Is processing modulated by the number of available Hanja meanings per Hangul homograph, that is, the size of the semantic cohort? In two crossmodal lexical decision tasks with semantic priming, participants were presented with auditory primes that were either syllables (Experiment 1) or full Sino-Korean words (Experiment 2), followed by visual Sino-Korean full word targets. In Experiment 1, we observed significantly faster reaction times for targets preceded by primes with larger semantic cohorts, than those with fewer, while in Experiment 2, reaction times were not significantly modulated by the size of the semantic cohort. I discuss these findings in relation to the structure of the mental lexicon for bi-scriptal languages and the representation of semantic cohorts across different scripts.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Feb
    3
    Virtual
    11:00am - 12:30pm

    DPHB Grand Rounds

    Join Virtual EventInstructions: dphb

    Academic Grand Rounds*
    The Mythology of Racial Progress
    Jennifer Richeson, Ph.D.
    Philip R. Allen Professor of Psychology
    Faculty Fellow, Institution for Social and Policy Studies
    Yale University

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Feb
    1
    Virtual
    3:00pm - 4:00pm

    Workshop - Slurm for Beginners

    A primer on submitting jobs to the job scheduler on Oscar. Some basic familiarity with Unix/Linux systems is assumed. Topics covered include: an overview of the use of Slurm for resource allocation, submitting jobs to Slurm, and using Bash scripts to configure and submit jobs to Slurm.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Computing, HPC, Research
  • Feb
    1
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Meltem Yucel (University of Virginia)

    Title: “No fair!”: An investigation of children’s moral development

    Abstract: Young children robustly distinguish between moral norms and conventional norms (Smetana, 1984; Yucel & Vaish, 2020). In existing developmental research, fairness norms are by definition considered part of the moral domain. Yet an understanding of fairness emerges late in development and is culturally variable, raising the possibility that fairness may not fall squarely in the moral domain. In a series of studies, I examine whether children see fairness as a moral or conventional norm.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Jan
    29
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Megan deBettencourt (Postdoc at Chicago)

    Title: Dynamics of attention and memory

    Abstract: We rely on attention at almost every moment of every day. Yet, we lose focus constantly, and even brief lapses can have serious consequences. How can we characterize these moment-to-moment fluctuations in attention? To address this challenge, I will present novel behavioral and neuroimaging approaches for tracking attention dynamics and detecting inattentive moments. I will then provide evidence that we can use brain imaging to not only describe changes in attention over time, but also to predict and prevent attention lapses with real-time interventions. Finally, I will demonstrate that attention fluctuations affect other aspects of cognition, including memory. In particular, I will demonstrate that a person’s attentional state predicts what they encode, maintain, and recall. My research leverages real-time fluctuations of brain function and behavior to characterize cognitive dynamics and improve attentional and cognitive abilities. This approach offers a powerful framework for understanding how attentional and cognitive processes interact and change over time.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • How do innovators bring their ideas to life? 

    Join the Carney Institute for a conversation with William Martin, Ph.D. ’95, Global Therapeutic Area Head of Neuroscience at the Janssen Pharmaceutical Companies of Johnson & Johnson. Martin will discuss the practical challenges of bringing great scientific ideas to real-world solutions.

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous conversations on the Carney Institute website.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    29
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: Zoom Link is for BOTH talks. Link will be available beginning at 11:30AM on Friday, January 29.

    Fair February: Data Science for Social Good

    Fair February is a three-week symposium organized by Brown’s Data Science Initiative. Each week of this symposium concentrates on a theme. The purpose of this symposium is to let young researchers of various disciplines interested in any of our themes, meet each other, and know about each other’s work and research.

    WEEK ONE: COMPUTATION AND HEALTH

     

    FOCUSED QUERY EXPANSION WITH ENTITY CORES FOR PATIENT-CENTRIC HEALTH SEARCH

    Erisa Terolli, Postdoctoral Research Associate, Max Plank Institute

    This talk is scheduled for 11:30am.

     

     
    TOPOLOGICAL AND GEOMETRIC METHODS FOR COVID-19 TRACKING

    Ignacio Segovia-Dominguez, Postdoctoral Research Associate and ConTex Fellow, University of Texas-Dallas

    This talk is scheduled for 12:10pm. 

     

    For more information, please contact Shahrzad Haddadan. To see more of Fair February’s events and speakers, visit our main event page.

    This series is organized by Shahrzad Haddadan, Marie Schenk, and Cristina Menghini. Sponsored by the Data Science Initiative.

    See the full schedule here.

     

    More Information 
  • Join Virtual EventInstructions: 687439

    Title:  Understanding Cortical Development and Disease: From Embryos to Brain Organoids

    More Information Biology, Medicine, Public Health, Research
  • Jan
    28
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: :Emily Cooper (Assistant Professor - UC Berkeley)

    Title: Perceptual Science for Augmented Reality

    Abstract: Recent years have seen impressive advances in near-eye display systems for augmented reality. In these systems, digital content is merged with the user’s view of the physical world. There are, however, unique perceptual challenges associated with designing a display system that can seamlessly blend the real and the virtual. By understanding and modeling the relevant principles that underlie our visual perception, I will show how we can address some of these challenges.

    More InformationRegistration for this event is now closed. Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Jan
    28
    Virtual
    11:00am - 12:00pm

    BME Seminar: Vivek A. Kumar, NJIT

    Center for Biomedical Engineering Seminar

    Title: SAPH Design for Biomaterial Drug Engineering

    Abstract: Self-assembling peptide hydrogels (SAPH) are a class of injectable scaffolds that present a paradigm in drug development and biomaterials. Facile self-assembly of monomeric/ multi-meric constituents result in high epitope presentation of biological signals. Persistent signaling, in situbolus delivery and demonstrable modification to actuate specific biological responses allow development of novel classes of biomaterials that behave as scaffolds and drugs. This presentation will describe a few examples of novel peptide-biomaterial drugs that are capable of site-specific delivery to tissue, potentiating numerous tissue remodeling responses in the dental and craniofacial space (dental pulp regeneration/ revascularization, drug delivery for TMJ regeneration, pulp cell trans-differentiation, IGF driven diabetic fracture healing, COVID therapeutics). A focus is also made to describe entrepreneurship and innovation helping bridge the gap between academia, industry and clinical medicine.

    Bio: Vivek Kumar received his bachelor’s degree in biomedical engineering from Northwestern University in 2006, and doctorate degree in biomedical engineering from the Georgia Institute of Technology in 2011. He did post-doctoral work at BIDMC, Harvard Medical School, and Rice University. He has honed his expertise is in the area of tissue engineering, drug development and delivery, and specific research interests are in the area of inflammation modulation and angiogenesis, especially in understanding the role of small growth factor or cytokine mimics’ ability to signal biological processes. He is the co-author of over 40 peer-reviewed journal articles, over 4 dozen abstracts, an inventor on a dozen patents/applications, and serial entrepreneur (3 startups to-date).
    Vivek currently serves at the New Jersey Institute of Technology as an Assistant Professor in Biomedical Engineering and Chemical Engineering, and at the Rutgers School of Dental Medicine. Vivek teaches Biomaterials and Biomedical Translation and Entrepreneurship. As a pre-health advisor and a member of the BME Faculty search committee, University IP committee, and endowed fellow of the Albert Dorman Honors College, Vivek strives to encourage research involvement with undergraduates, graduates and post-doctoral scientists. Research in the KumarLab (kumarlab.njit.edu) aims at translating technologies in startups (NangioTx.com / SAPHTx.com) towards treating a wide array of pathologies. To this end, Vivek is a frequent member of SBIR/STTR and NIH study sections, and serves as a reviewer for over a dozen peer-reviewed journals. 

    More Information 
  • Join Virtual EventInstructions: Zoom link is for BOTH talks and will be available beginning at 4:00pm on Wednesday, January 27

    Fair February: Data Science for Social Good

    Fair February is a three-week symposium organized by Brown’s Data Science Initiative. Each week of this symposium concentrates on a theme. The purpose of this symposium is to let young researchers of various disciplines interested in any of our themes, to meet each other, and know about each other’s work and research.

    WEEK ONE: COMPUTATION AND HEALTH
    KEYNOTE SPEAKER: Elizabeth Chen, Interim Director, BCBI, Brown University

     

    Artificial Intelligence in Healthcare

    Over the last five decades, artificial intelligence (AI) in medicine and health care has evolved along with advancements in data, technology, and computation. AI offers the potential to achieve the “quintuple aim” of enhancing patient and provider experiences, reducing costs, improving population health, and addressing equity and inclusion. However, there are a range of challenges in transforming electronic health data into clinically-actionable knowledge and implementing evidence-based innovations into practice. This keynote will begin with a history of AI in medicine followed by an overview of challenges and opportunities presented in the National Academy of Medicine’s 2019 special publication on “AI in Healthcare: The Hope, The Hype, The Promise, The Peril.” The talk will end with a discussion of the role of AI in local and national initiatives focused on COVID-19.

    Biography

    Elizabeth Chen, Ph.D., FACMI, is Interim Director of the Brown Center for Biomedical Informatics (BCBI), Associate Professor of Medical Science, Associate Professor of Health Services, Policy & Practice, Director of the Advance-CTR Biomedical Informatics and Cyberinfrastructure Enhancement Core, and Faculty Scholar in the Hassenfeld Child Health Innovation Institute at Brown University. Within BCBI, Dr. Chen leads the Clinical Informatics Innovation and Implementation (CI3) Laboratory that is focused on leveraging Electronic Health Record (EHR) technology and data to improve healthcare delivery and biomedical discovery. Her current research projects involve the use of data, technology, and computational approaches for improving mental health (mental health informatics) and child health (pediatric informatics). Dr. Chen received a BS in Computer Science from Tufts University and Ph.D. in Biomedical Informatics from Columbia University. Prior to joining Brown University in July 2015, she held appointments at Columbia University, Partners HealthCare/Brigham and Women’s Hospital/Harvard Medical School, and the University of Vermont. Dr. Chen is currently Chair of the Biomedical Informatics, Library and Data Sciences (BILDS) Review Committee for the National Library of Medicine (NLM) at the National Institutes of Health (NIH), Associate Editor for Methods of Information in Medicine, and Editorial Board Member for the Journal of Biomedical Informatics.

     
    YOUNG RESEARCH SPEAKER: Ruotao Zhang, Ph.D. Candidate, Biostatistics, Brown University

     

    Identifying Subgroups with Differential Prediction Accuracy

    When reporting a prediction model’s performance, it is a standard practice only to report a measure of overall performance, i.e., how well the model predicts for the whole population it is evaluated on. However, it is also important for many applications to consider whether there is some sub-population that the model is more (less) effective at predicting, driving up (lowering) the overall prediction accuracy. In this talk, we discuss a tree-based algorithm for identifying subgroups with differential prediction accuracy. The algorithm is general in that it can accommodate any measure of model performance and any prediction model. We apply it to both simulated data and the National Lung Screening Trial (NLST) data. For the latter, we use non-imaging covariates (e.g., gender, age, race, smoking status) as inputs and identify subgroups with differential prediction performance under a previously developed lung cancer prediction model PLCOm2012. 

    Biography

    Ruotao is currently a Ph.D. candidate in the Department of Biostatistics under the supervision of Dr. Steingrimsson and Dr. Gatsonis. Before coming to the US, he worked as a data scientist at China Resources. Ruotao obtained an MSc in Applied Statistics from the University of Oxford, and a BSc in Mathematics from Imperial College London. His research interests mainly include statistical analysis of machine learning and deep learning models with applications to biomedical data.

     

    For more information, please contact Shahrzad Haddadan. To see more of Fair February’s events and speakers, visit our main event page

    This series is organized by Shahrzad Haddadan, Marie Schenk, and Cristina Menghini. Sponsored by the Data Science Initiative.

    More Information 
  • Speaker: Rachel Weissler

    Title: Toward A Cognitive Model of African American English: Sociolinguistic knowledge and its influence on processing

    Abstract: African American English (AAE) is the most well-studied minoritized variety of English in the U.S., yet there is still so much we do not know about cognitive processing of the variety. Understanding the mechanisms of AAE cognition is critical to building models of language that include how multiple linguistic systems live in the brain. Additionally, this understanding is crucial in our current sociopolitical climate in the United States in which linguistic prejudice and discrimination continues to persist (Craft, Wright, Weissler, & Queen 2020). This talk will focus on neurolinguistic research and emotional prosody behavioral research, which work in parallel in the construction of a cognitive model of AAE. The EEG studies show that AAE is processed differently than Standardized American English (SdAE), because it shows that predictions are conditioned by the identity of the speaker. The emotional prosody research shows that emotional prosody does influence race judgements, and still, there are some discrepancies between behavioral judgements and written responses from participants. Taken together, these studies indicate that language variety impacts processing, but also raises questions about the role of the participant and leveraging linguistic knowledge during processing. This work contributes to further understanding of how social information and stereotypes interface with cognitive processing within a multidialectal frame.

    Website: https://sites.google.com/view/rachel-elizabeth-weissler

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Passcode: 377316

    How Brain Banks Enable Discovery in Neurodegenerative Diseases: An Opportunity for Brown

    Ivana Delalle, M.D., Ph.D.

    Professor of Pathology and Laboratory Medicine, Brown University’s Warren Alpert Medical School

    Director of Neuropathology Service, Lifespan

    Jean Paul G. Vonsattel, M.D.

    Professor of Pathology, New York-Presbyterian Hospital, Columbia University Medical Center

    Director of the New York Brain Bank

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    27
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Professor Nicole Holliday (UPenn)

    Title: Kamala Harris and the Construction of Complex Ethnolinguistic Political Identity

    Abstract: Over the past 50 years, sociolinguistic studies on black Americans have expanded in both theoretical and technical scope, and newer research has moved beyond seeing speakers, especially black speakers, as a monolithic sociolinguistic community (Wolfram 2007, Blake 2014). Yet there remains a dearth of critical work on complex identities existing within black American communities as well as how these identities are reflected and perceived in linguistic practice. At the same time, linguists have begun to take greater interest in the ways in which public figures, such as politicians, may illuminate the wider social meaning of specific linguistic variables. In this talk, I will present results from analyses of multiple aspects of ethnolinguistic variation in the speech of Vice President Kamala Harris during the 2019-2020 Democratic Party Primary debates. Together, these results show how VP Harris expertly employs both enregistered and subtle linguistic variables, including aspects of African American Language morphosyntax, vowels, and intonational phonology in the construction and performance of a highly specific sociolinguistic identity that reflects her unique positions politically, socially, and racially. The results of this study expand our knowledge about how the complexities of speaker identity are reflected in sociolinguistic variation, as well as press on the boundaries of what we know about how speakers in the public sphere use variation to reflect both who they are and who we want them to be.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: 399912

    Join the Carney Institute for its first Brain Science External Postdoc Seminar Series (BrainExPo), featuring Sergey Stavisky, postdoctoral research fellow in the Neurosurgery Department of Stanford University. 

    Stavisky will discuss “Intracortical brain-computer interfaces: from fundamental science and engineering to restoring speech, reach and grasp.” 

    Abstract: Brain-computer interfaces (BCIs) are poised to profoundly transform human neuroscience and health by treating devastating – and currently incurable – nervous system injuries and diseases with precise, circuit-level measurements and interventions. BCIs can potentially restore the ability to speak, move, remember, and more. However, going from proof-of-concept studies in animal models to repairing or replacing patients’ damaged abilities requires a platform for understanding human-specific neural functions and designing, testing, and refining therapies in people. My strategy for accomplishing this is to develop advanced intracortical BCIs to restore reach & grasp movement and speech for people with paralysis. Motor BCI clinical trials can help individuals with severe speech and motor impairment in the near-term, and in doing so, validate the safety of new human-use devices capable of reading from and writing to thousands of neurons. These clinical trials also provide direct access to human neural circuits for gaining a deeper neuroscientific understanding of how the brain generates movements, which I believe will ultimately lead to better BCI therapies.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jan
    25
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Register for Workshop More Information Computing, HPC, Research
  • Jan
    22
    Virtual
    12:00pm - 1:00pm

    Entrepreneurship Open House

    Do you want to learn more about entrepreneurship at Brown and how you can be involved this semester? Join the Nelson Center for Entrepreneurship for the virtual open house to discover courses, venture support programs, global initiatives and events we offer. You will meet Nelson Center staff, entrepreneurship faculty, student group leaders, and mentors like our Peer-Entrepreneurs-In-Residence (PEIRs) and our new Entrepreneurs-In-Residence (EIRs).

    • Interested in solving climate change? Meet Professor Alice Nichols who is teaching the brand new Eco-Entrepreneurship Course.
    • Meet our 2021 Entrepreneurs-In-Residence (to be announced)!
    • Learn about entrepreneurship clubs & organizations you can join this semester.

    Register here to attend. Instructions for joining will be sent via email. 

    More Information Advising, Mentorship, Entrepreneurship, Graduate School, Postgraduate Education, Identity, Culture, Inclusion, Student Clubs, Organizations & Activities
  • The CAAS Rounds committee presents: “How Alcohol Expectancies Shape Experience and Are Shaped by Experience” with Dr. Hayley Treloar Padovano 

    More Information 
  • Join Virtual EventInstructions: Zoom Registration Required

    I2S2 Seminar: Computational Modeling for D&I -An Overview with Examples from the Field featuring Bo Kim, PhD.

    Dissemination and implementation (D&I) research focuses on strategies that are used to distribute and promote the uptake of evidence-based practices in health care settings. These settings are often complex systems that have multiple dependencies, competitions, relationships, and other interactions between their components and/or with their environments. To study these complexities, D&I researchers have begun to turn to computational modeling. This seminar session will discuss the relevance of computational modeling to D&I, and share examples of how computational modeling is being used by D&I studies (e.g., to enhance stakeholder engagement, to guide resource allocation). This session will additionally highlight several issues for consideration when using computational modeling to examine D&I, and propose future directions in which computational modeling can contribute to D&I research. As data-driven approaches to enhancing care remain central to learning health systems, this session will aim to serve as a forum on how D&I can harness computational modeling to support those systems’ implementation and sustained delivery of evidence-based practices.

    Headshot of Dr. Kim

     

    Dr. Kim is a mental health services researcher at the VA Center for Healthcare Organization and Implementation Research (CHOIR), and an Assistant Professor of Psychiatry at Harvard Medical School (HMS). With an academic background in systems science and engineering, her research interests are in applying multidisciplinary methodologies toward studying the quality and implementation of mental health services.

     

    I2S2 covers the breadth of topics in effectively using data and technology to advance biomedical discovery and healthcare delivery. Each learning activity (seminar, journal club, workshop, or tutorial) features methods, applications, or resources that are aligned with components of a learning health system. This series is a joint initiative between the Brown Center for Biomedical Informatics, Brown Department of Psychiatry and Human Behavior Implementation Science Core, Rhode Island Quality Institute, and Advance Clinical and Translational Research (Advance-CTR).

    More Information Biology, Medicine, Public Health, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences
  • Jan
    22
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 089708

    Title: The evolutionary origins of cortical cell


    More Information Biology, Medicine, Public Health, Research
  • Jan
    21

    Are you a student interested in pursuing a Certificate in Entrepreneurship? Drop in to learn more about the course requirements and curriculum for this exciting new opportunity offered by the Nelson Center for Entrepreneurship.

    Register here to attend.

    More Information Advising, Mentorship, Education, Teaching, Instruction, Entrepreneurship, Teaching & Learning
  • The first Providence Sleep Research Interest Group (PSRIG) seminar of 2021 will feature Sarah Honaker, Ph.D., assistant professor of pediatrics at the Indiana University School of Medicine and director of behavioral sleep medicine at Riley Hospital for Children.

    Abstract: Children from racial/ethnic minority and economically disadvantaged backgrounds are more likely to have obstructive sleep apnea (OSA), yet less likely to receive timely detection and treatment. This talk will present research on strategies to promote detection of pediatric OSA in disadvantaged families through engagement of primary care providers, childcare providers, and parents.

    The PSRIG seminar series has been hosted by Dr. Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected].

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: CCBS

    Join Carney’s Center for Computational Brain Science (CCBS) for a seminar on “Practical sample-efficient Bayesian inference for models with and without likelihoods.” This event will feature Luigi Acerbi, Ph.D., an assistant professor at the University of Helsinki.

    Abstract:
    Bayesian inference in applied fields of science and engineering can be challenging because in the best-case scenario the likelihood is a black-box (e.g., mildly-to-very expensive, no gradients) and more often than not it is not even available, with the researcher being only able to simulate data from the model. In this talk, I review a recent sample-efficient framework for approximate Bayesian inference, Variational Bayesian Monte Carlo (VBMC), which uses only a limited number of potentially noisy log-likelihood evaluations. VBMC produces both a nonparametric approximation of the posterior distribution and an approximate lower bound of the model evidence, useful for model selection. VBMC combines well with a technique we (re)introduced, inverse binomial sampling (IBS), that obtains unbiased and normally-distributed estimates of the log-likelihood via simulation. VBMC has been tested on many real problems (up to 10 dimensions) from computational and cognitive neuroscience, with and without likelihoods. Our method performed consistently well in reconstructing the ground-truth posterior and model evidence with a limited budget of evaluations, showing promise as a general tool for black-box, sample-efficient approximate inference — with exciting potential extensions to more complex cases.

    Links:

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • The CAAS Rounds Committee presents: “Potential Benefits and Bias in Using Machine Learning to Predict Opioid Overdose in the ED” with Dr. Benjamin Cook.

    More Information 
  • Jan
    15
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Even before COVID-19 struck, adolescents were coping with a variety of mental health challenges. Clinical psychologist Carol Landau will discuss her new book, Mood Prep 101, which helps parents teach kids the problem-solving and self-efficacy skills they will need in college. It also helps them discern when professional help may be needed for an adolescents’ anxiety and depression. This talk is perfect for parents of teens going through the college application process or entering school in the spring semester!

    Join us for a conversation with Dr. Landau followed by questions and answers. Katherine Sharkey, MD, PhD, assistant dean for women in medicine and associate professor of psychiatry and human behavior, will lead the discussion.

    The Brown Bookstore is offering 10% off the book and copies signed by the author are available.

    About Carol Landau, PhD

    Carol Landau, PhD, is a clinical professor in the Department of Psychiatry and Human Behavior and the Department of Medicine at The Warren Alpert Medical School of Brown University, where she has taught seminars on family dynamics, development, depression, and anxiety. She maintains an independent practice in consultation and specializes in the treatment of depressive and anxiety disorders. She blogs for PsychologyToday.com.

    Mood Prep 101: A Parent’s Guide to Preventing Anxiety and Depression in College-Bound Teens More InformationRegistration for this event is now closed. 
  • The Data Science Initiative will be holding an information session for undergraduates interested in the DSI UG Certificate in Data Fluency.

    For more information and courses, please visit the University Bulletin

     

    This virtual event will take place January 14, 2021 at 3:00 PM during the University’s Quiet Period.

    More Information 
  • Jan
    14
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Drew Lindsey - Postdoctoral Research Fellow - Brown

    Title: Optimizing recurrent neural circuits to understand intelligence

    Abstract: Despite incredible advances in artificial vision over the past decade, there is no system that can compete with the robustness and versatility of human vision. In this talk, I will offer evidence that the dynamic routines of neural circuits in visual cortex represent a partial solution to these challenges for artificial vision. I will begin by introducing a model of neural circuits in visual cortex that explains visual illusions, and can be optimized to solve difficult visual tasks that artificial vision struggles to learn. This model succeeds by discovering routines for incremental grouping that resemble those of human observers, despite receiving no explicit supervision to do so. Next, I will show that these task-optimized neural circuit models better explain stimulus-evoked responses of visual cortex than standard computational models, and can generate hypotheses for open questions in vision science. These two lines of research demonstrate that (i) brain science can help identify and resolve challenges for artificial intelligence, and (ii) better models of artificial intelligence can help us understand the brain. I will finish by describing ongoing work in which I extend these principles to new domains of biological and artificial intelligence.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Jan
    14

    The Advance-CTR Translational Research Seminar Series showcases clinical and translational research from across Rhode Island. Presentations, followed by feedback, allow presenters the opportunity to refine and strengthen their research. Seminars are held virtually on the second Thursday of each month.

    January

    • Sean Monaghan, MD: “Deep RNA Sequencing and Critical Care: Early Steps to Commercialization”
    • Jonghwan Lee, PhD: “Minimally-Invasive Retinal Prosthesis to Restore Vision in Blindness: Preclinical Study”

    Details: January 14, 2021 at 12 p.m. ET

    Seminar Series More Information Advising, Mentorship, Biology, Medicine, Public Health, Education, Teaching, Instruction, Entrepreneurship, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Teaching & Learning, Training, Professional Development
  • Join Jim Padbury, Ed Hawrot & Audra Van Wart for “The Role of the Scientist in Society”

    OVERVIEW
    This course is designed to fulfill the NIH requirements for training in the Responsible Conduct of Research (RCR), and is coordinated by the Office of Graduate and Postdoctoral Studies (OGPS) in the Division of Biology and Medicine at Brown. The Research Integrity Series for Faculty consists of core [*REQUIRED] and elective modules, with content and discussion topics aimed at more experienced scholars in the biomedical and clinical sciences.

    REQUIREMENTS
    Faculty must complete a minimum of 8 hours of in-person core and elective content in order to receive RCR certification. Faculty who began training in this course last year and have yet to complete their 8 hours may continue with this year’s series. Faculty registered this course may apply up to 1 hr of in-person external RCR training (for example, a departmental workshop, class, or seminar relating to a topic covered in this class). Attendees must provide OGPS with verification of attendance for tracking purposes.

    More Information Advising, Mentorship, Biology, Medicine, Public Health, Education, Teaching, Instruction, Research, Teaching & Learning, Training, Professional Development
  • Jan
    13
    Virtual
    11:00am - 12:00pm

    Child & Adolescent Psychiatry Grand Rounds

    Join Virtual EventInstructions: 976 8474 3319

    Goal-Directed Behavior and the Adolescent Brain
    Leah Somerville, Ph.D.
    Professor of Psychology and Center for Brain Sciences
    Harvard University

    More Information 
  • Join Virtual EventInstructions: 308862

     

    Neuroscience Graduate Program

    2020-2021 Bench to Bedside Seminar Series

     

    “Primary CNS Diffuse Large B-cell Lymphoma Associated with a Demyelinating Lesion: A Case Study”

     

    Ivana Delalle, M.D., Ph.D.

    Professor of Pathology

    Director, Neuropathology

    Lifespan Academic Medical Center

     

    Jonathan F. Cahill, M.D.

    Associate Professor of Neurology

    Warren Alpert Medical School of Brown University/Rhode Island Hospital

     

    Colin Kanach, M.D.

    Neuropathology Fellow

    Warren Alpert Medical School of Brown University/Rhode Island Hospital

     

    Brandon James, M.D.

    Vascular Neurology Fellow

    Warren Alpert Medical School of Brown University/Rhode Island Hospital

     

    January 7, 2021 at 4:00pm

    Zoom link: https://brown.zoom.us/j/91071893026?pwd=NXhTaWhFZlJJQUp5YVFvZzF6UGNudz09

    Passcode: 308862

     

    Organized by the Brown University Center for Translational Neuroscience 

    Host: Eric M. Morrow, M.D., Ph.D.

    More Information Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Join Virtual EventInstructions: Zoom link will be sent upon registration.

    Please join us on January 6th for a seminar series presentation by Talie Massachi, “Affect in Social Media Messaging”. Messaging is a common mode of communication, with conversations written informally between individuals. Interpreting emotional affect from messaging data can lead to a powerful form of reflection or act as support for clinical therapy. This talk will first present Sochiatrist, a pseudo-anonymizing data extractor for social messaging data. Initial analysis from an experimental study shows that extracted private messaging data may be a promising data source for automated affect detection. Next, this talk will analyze various modifications to VADER (a common tool used to measure affect in text), proposing several simple modifications to VADER that may be able to improve VADER’s predictive power. Finally, this talk will introduce Chime, an experimental restrictive social network designed to test structures of social support built over social media by encouraging mood sharing between users.

    Talie Massachi is a second year computer science PhD student in the Brown University Human Computer Interaction Lab, advised by Professor Jeff Huang. Her work focuses on improving the availability of mental health resources available to the general public. Before joining Brown, she worked as a software engineer at Constructor.io, and as a research assistant at the USC Institute for Creative Technologies working on the Cicero system. She graduated from Brandeis University in 2018, with a degree in computer science and psychology.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research
  • Jan
    6
    Virtual
    11:00am - 12:30pm

    DPHB January Grand Rounds

    Join Virtual EventInstructions: 935 0448 4641

    Novel Methods and Technologies to Predict Self-Injurious Thoughts and Behaviors
    Michael Armey, Ph.D.
    Associate Professor (Research), Department of Psychosocial Research
    Warren Alpert Medical School of Brown University
    Associate Director, Consortium for Research Innovation in Suicide Prevention (CRISP)

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • Dec
    18
    Virtual
    12:00pm - 2:00pm

    CLPS Ph.D. Defence: Shiying Yang

    Speaker: Shiying Yang, Brown University

    Title: The Structure of the Lexicon and Phonotactic Information

    Advisor: Uriel Cohen Priva

    ~ link information to the meeting sent toCLPS all ~

    If you are not part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator with at least a 24 hour notice.

    More Information Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Please contact [email protected] for Zoom link.

    More Information 
  • Join Virtual EventInstructions: 342137

    Advisor: Dr. Gilad Barnea

    More Information Biology, Medicine, Public Health, Research
  • Dec
    18
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 885637

    Join the Moore Lab for a talk on the “The missed logic of neurovascular coupling across cortical layers,” featuring Prakash Kara, professor at the University of Minnesota. 

    Abstract:

    The brain has a mechanism for increasing blood flow locally to regions with increased neural activity. This increase in blood flow generates signals that can be measured when using functional magnetic resonance imaging (fMRI). However, the precise spatial scale over which neural and vascular signals are correlated is largely unknown. This is of particular importance in the neocortex where lateral and laminar circuits are distinctly organized within and across mammalian species. While previous work has focused on molecular mechanisms of signaling between neurons and blood vessels, the extent to which blood vessels are locally ‘tuned’ for different categories of sensory stimuli was not examined until a recent study from my laboratory1. We have been using two-photon2 and three-photon3,4 imaging in mice5 and cats1 to measure sensory-evoked responses of individual blood vessels (dilation, blood velocity) while imaging neural activity in the surrounding tissue using fluorescent glutamate and calcium sensors. More recently, in collaboration with another lab at the University of Minnesota, we also added high-resolution fMRI (9.4 Tesla, 250 μm isotropic resolution) to directly compare the selectivity of hemodynamic signals obtained with single-voxel fMRI and single-vessel optical techniques across cortical layers. In my talk at Brown University, I will present multi-photon and fMRI data which begin to address the neural correlates of hemodynamic responses and the spatial limits of neurovascular coupling in the neocortex. More details on our research is available at karalab.org.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 163324
    From connectome to function: connectivity features underlying neuronal population
    dynamics in the nematode C. elegans
    More Information Biology, Medicine, Public Health, Research
  • Please contact [email protected] for Zoom link.

    More Information 
  • Join Virtual EventInstructions: Passcode: 438591

    Join the Moore Lab for a talk on “Sensorimotor strategies and neuronal computations for shape recognition in mice,” featuring Chris Rodgers, Ph.D., Columbia University.

    Abstract:

    We can identify objects by exploring them with our eyes or fingertips. Mice similarly explore objects with their whiskers, but the underlying behavioral strategies and neuronal computations remain unknown. I developed a shape discrimination task that challenged head-fixed mice to discriminate concave from convex shapes. Mice did this by comparing sensory information across multiple whiskers. To determine how the brain implements this comparison operation, I recorded populations of neurons in the barrel cortex, which processes whisker input. In a surprising violation of the classic topographic map of barrel cortex, neurons were re-tuned to respond more to behaviorally relevant whiskers, in accordance with the comparison operation that drove the mouse’s choice. In sum, this approach revealed how neurons participated in an quantitatively defined algorithm for shape discrimination. This technique could be used to understand other behaviors in diverse organisms. In future work, I will ask how distributed sensorimotor processing enables freely moving mice to use body motion to efficiently explore their world.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 533703

    “How distributed and how focal are cognitive and pathological processes in the human brain?”

    Sydney Cash, M.D, Ph.D.

    Co-Director, Center for Neurotechnology & Neurorecovery, Epileptologist, Department of Neurology, Massachusetts General Hospital

    Associate Professor of Neurology, Harvard Medical School

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: Password: CCBS

    Join Carney’s Center for Computational Brain Science (CCBS) for a seminar on “Neural reinforcement: re-entering and refining neural dynamics leading to desirable outcomes.” This event will feature Vivek Athalye, Ph.D., postdoctoral researcher at Columbia University.

    Abstract:
    How do organisms learn to do again, on-demand, a behavior that led to a desirable outcome? Dopamine-dependent cortico-striatal plasticity provides a framework for learning behavior’s value, but it is less clear how it enables the brain to re-enter desired behaviors and refine them over time. Reinforcing behavior is achieved by re-entering and refining the neural patterns that produce it. We review studies using brain-machine interfaces which reveal that reinforcing cortical population activity requires cortico-basal ganglia circuits. Then, we propose a formal framework for how reinforcement in cortico-basal ganglia circuits acts on the neural dynamics of cortical populations. We propose two parallel mechanisms: i) fast reinforcement which selects the inputs that permit the re-entrance of the particular cortical population dynamics which naturally produced the desired behavior, and ii) slower reinforcement which leads to refinement of cortical population dynamics and more reliable production of neural trajectories driving skillful behavior on-demand.
    More Information CCBS, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research
  • Dec
    15

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Joey Heffner (Grad student at Brown)


    Title: Reverse engineering emotions during social interactions

    Abstract: How do emotional experiences guide socially adaptive behavior? Popular theories argue that emotions are linked to action tendencies, where emotions (e.g., anger) cause specific behaviors, such as punishing others. Other theories focus on characterizing how external rewards generate specific emotional experiences, which in turn, motivate actions. We leverage a new methodology to precisely characterize the role of emotions during social learning and decision-making. First, by using a machine learning approach, we test the anger-punishment link to interrogate which emotional responses drive decisions to punish. Results reveal that rather than anger, emotional states such as disappointment, are far more representative for motivating punitive choices. Second, we test how variation in emotion representations motivate prosocial choices. We demonstrate how individual differences in the cognitive structure of emotion predict decisions to donate to children in need, controlling for emotional experiences themselves. Together, these results challenge standard decision-making models and offer new understanding about the role of emotions in social choices.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Psychology & Cognitive Sciences
  •  

    Join us for the Providence Sleep Research Interest Group Seminar, featuring Dr. Allison Harvey, professor of clinical psychology at the University of California Berkeley. Dr. Harvey’s presentation is entitled: “The Transdiagnostic Sleep and Circadian Intervention: Modifying the Impact of Eveningness Chronotype in Adolescence on Sleep, Circadian, and Risk Outcomes.”

    Abstract:

    Adolescence is an important developmental stage. There is evidence that the onset of puberty triggers a general preference for eveningness. Evening chronotype (‘night-owls’) adolescents follow a delayed sleep-wake schedule, increasing mental and/or physical activity later in the day, compared to morning chronotypes (‘larks’). The evening preference has been identified as a contributing factor for poorer health across multiple domains (emotional, cognitive, behavioral, social, physical). A ‘treatment experiment’ will be described in which a psychosocial intervention (Transdiagnostic Sleep and Circadian Intervention; TranS-C-Youth) was administered to test the hypothesis that reducing eveningness will improve sleep and circadian functioning and reduce risk. Several “next steps” will also be highlighted. –

    About the seminar series:

    The PSRIG seminar series has been hosted by Dr. Mary Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    This year, the series will be held virtually and involve a diverse lineup of speakers from various institutions both nationally and internationally. Seminars will be held at 12 p.m. on the 3rd Tuesday of each month. If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected].

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • How do our brains turn thoughts into action, and how does this shape our everyday lives?

    Join the Carney Institute for a conversation with David Badre, professor of cognitive, linguistic and psychological sciences at Brown University, about the neuroscience of cognitive control. Badre is the author of the newly published book, On Task, where he offers a comprehensive and accessible introduction to the unique ability of the human brain to execute sophisticated actions to achieve goals.

    This conversation will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    Watch previous conversations on the Carney Institute website.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Desmond Upton Patton, PhD
    Associate Professor of Social Work; Associate Dean of Curriculum Innovation and Academic Affairs
    Columbia University School of Social Work

    Desmond Upton Patton’s research uses qualitative and computational data collection methods to examine the relationship between youth and gang violence and social media; how and why violence, grief, and identity are expressed on social media; and the real-world impact these expressions have on well-being for low-income youth of color. He studies the ways in which gang-involved youth conceptualize threats on social media, and the extent to which social media shapes and facilitates youth and gang violence.

    The Decoding Disparities Lecture Series

    The Decoding Disparities Lecture Series is sponsored by The Warren Alpert Medical School of Brown University and the Brown School of Public Health to examine health inequity and to outline steps toward a more equitable and just health care system.

    The series is supported by The Paul Levinger Professorship Pro Tem in the Economics of Health Care. This lecture was established in 1987 to honor the memory of Paul Levinger by a gift from his wife, Ruth N. Levinger, on behalf of the Levinger family. The Levingers’ daughter and son-in-law, Bette Levinger Cohen and John M. Cohen ’59, MD were instrumental in Mrs. Levinger’s decision to make this gift.

    Continuing Medical Education Credit

    This live activity is approved for AMA PRA Category 1 Credit

    Physicians: To be eligible to claim CME credit, please register for this event at cme-learning.brown.edu

    More InformationRegistration for this event is now closed. decodingdisparities
  • Dec
    14
    Virtual
    3:00pm - 4:00pm

    Workshop - Basic Bash

    This workshop will cover basic shell scripting in Bash: variables, loops, pipes and more so participants can learn to automate work with Bash. We will assume participants have some familiarity with the linux command line.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 643252

    “Interrogation of Neurobiological Responses to DietChoice”

     Advisor: Dr. Michael Krashes

    More Information Biology, Medicine, Public Health, Research
  • Dec
    11
    Virtual
    3:00pm - 5:00pm

    CLPS Ph.D. Defence: Brittany Baxter

    Speaker: Brittany Baxter, Brown University

    Title: Are you ‘shore’ it looks farther away: Does the energetic cost of walking on sand influence perceived spatial layout or what the layout affords for action?

    Advisor: Bill Warren

    ~ link information to the meeting sent toCLPS all ~

    If you are not part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator with at least a 24 hour notice.

    More Information Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Dec
    11
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Dec
    10

    “Neurocognitive Bases of Preclinical Alzheimer’s Disease”

    Hwamee Oh

    Brown University

    “Neuroimaging of Financial Decision Making in Older Age”

    Duke Han

    University of Southern California

    Register to attend the webinar. Zoom details will be sent after registration.

     

    About Growing Up in Neuroscience Webinar Series

    Any early-career researcher interested in aging neuroscience across a wide range of domains – including cognition, affect, memory, and everything in between – is invited to participate in Growing Up in Aging Neuroscience (GRAN). Our objective is to provide a setting in which junior researchers considering or pursuing a career in aging neuroscience can learn about the latest developments (and the people behind it). We have brought together world-class researchers across a wide range of career stages (from assistant to full professor) to present their work, as well as share their unique experiences relating to how they became investigators (inspired by the Growing Up in Science series), in hopes of encouraging junior researchers considering or pursuing a career in aging neuroscience.

    GRAN2020 will take place on via a virtual and free Webinar Series in Fall 2020. To receive the zoom invite and passcode for each session, you will need to register for each session. Each session will be 1.5 hours long, with each speaker presenting their research and participating in a Q&A session at the end of each webinar.

    Abstracts

    Neurocognitive Bases of Preclinical Alzheimer’s Disease (Hwamee Oh): Although cognitively normal, older adults undergo a wide range of abnormal neural changes that are not clinically evident. One of these abnormal neural changes is an accumulation of beta-amyloid (Aβ), a pathological hallmark of Alzheimer’s disease (AD). Approximately 20-50% of cognitively normal older adults were shown to harbor a high level of Aβ deposition, which is now called “preclinical Alzheimer’s disease”. Because Aβ deposition is a disease-related process and a large proportion of cognitively normal older adults presents with Aβ pathology, it is important to disentangle changes associated with normal aging and pathological aging in order to better understand each neurocognitive trajectory. More importantly, brain systems supporting memory highly overlap with where β-amyloid plaques are accumulated. It remains, however, unclear how Aβ pathology contributes to memory dysfunction. I will present the data that show differential changes in neural substrates and cognition due to normal aging and Aβ-related pathological aging, with a particular emphasis on the visual memory system, among asymptomatic older adults. I will also discuss the application of these findings in developing better behavioral and neuroimaging measurements that help early detection, prevention, and treatment monitoring of Alzheimer’s disease among preclinical and clinical populations.

    Neuroimaging of Financial Decision Making in Older Age (Duke Han): Older adults hold over a third of the nation’s wealth, yet a portion of older adults tragically become victims of scam and fraud, often resulting in a devasting impact to independence and wellbeing. The reasons for why some older adults show declines in financial decision making and increased vulnerability to financial exploitation while others do not remain elusive. The work of our team and others have linked lower financial decision making in older age with important health outcomes such as cognitive impairment and eventual Alzheimer’s Disease. A greater understanding of the underlying mechanisms which contribute to impaired financial decision making and financial vulnerability in older age is therefore a significant public health concern. This presentation will discuss the rationale for neuroimaging as a tool for studying financial decision making and vulnerability to scam and fraud in older age. Findings from our work using multimodal neuroimaging approaches (MRI macrostructure, microstructure, and functional connectivity) will be presented, and public policy implications will be discussed.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Dec
    10

    Advance-CTR Pilot Project awardee, Dr. Tao, and Mentored Research Scholar, Dr. Samuels, share their research:

    • Jun Tao, PhD: “Using Big Data to Determine Pre-exposure Prophylaxis Uptake and Persistence in Southern New England
    • Elizabeth Samuels, MD: “Identifying Opioid Overdose Hotspots for Prevention and Treatment Resource Deployment

    Register now!

    More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Dec
    9
    Virtual
    3:00pm - 4:00pm

    MPPB Career Panel

    Please join us for a career panel featuring MPP alumni Diana Borgas, PhD’14 and Hawasatu Dumbuya, PhD’17.  

    Click here to register and receive the Zoom link.

    More Information Biology, Medicine, Public Health, Careers, Recruiting, Internships, Graduate School, Postgraduate Education
  • Title: Constructing 4D molecular roadmaps of cell fate decisions

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Dec
    9
    Join Virtual EventInstructions: dphb

    The Diagnosis and Treatment of Tourette Syndrome

    Barbara J. Coffey, MD, MS

    Professor and Chair, Department of Psychiatry and Behavioral Sciences

    University of Miami

    Miller School of Medicine Wednesday, December 9, 2020 ◊ 11:00 am - 12:00 pm

    Course Link: https://cme-learning.brown.edu/Child-Adolescent-2021

    Join December 9, 2020 Zoom Meeting: https://brown.zoom.us/j/99914605173
    Meeting ID: 999 1460 5173

    Password: dphb

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • Dec
    7
    Virtual
    3:00pm - 4:00pm

    Workshop - Version Control with Git

    A practical introduction to version control for software management using Git. Topics covered include: creating a repository, checking the status of a repository, committing changes, viewing changes, reverting to older versions of files, and setting up a remote repository.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Dec
    4

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Jacob Feldman (Professor Rutgers University - New Brunswick)

    Title: Complexity and information in category and feature learning

    Abstract: In this talk I will present two interrelated projects on category and feature learning, one on the role of complexity in the way we learning categories, and the other on the role of information measures in the way we learn the features that underlie categories. Conceptual complexity is known to impair concept learning, implying a kind of simplicity bias in the way we induce categories from examples. But past studies of complexity have been limited to discrete complexity measures, while the role of complexity in the general case—probabilistically defined categories in continuous feature spaces—is comparatively unexplored. I will discuss a series of experiments in which subjects were presented with probabilistic categories of various levels of intrinsic complexity. As with categories based on discrete features, subjects show a dramatic fall-off in performance with more complex category structures. But what is the right way to measure “complexity?” A comparison of measures suggests that a simple information-theoretic measure of category complexity best fits the data. In the second part of the talk I will discuss how category learning can influence the choice of underlying perceptual features. Category learning is known to induce “categorical perception” effects, in which discrimination performance along category-relevant or informative features measurably improves. But what is the right way to measure “informativeness?” A comparison of measures suggests again that a simple information-theoretic measure—the mutual information between the feature and the category variables—best fits the data. This finding suggests a “rational” basis for categorical perception, in which the precision of perceptual discrimination is tuned to the statistical structure of the environment

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Dec
    4
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Dec
    4

    Growing Up in Neuroscience Webinar Series

    “Emotion Regulation and Aging: What I used to think, what I think now, and why”

    Derek Isaacowitz

    Northeastern University

    “How Older Adults Remember Emotional Events”

    Elizabeth Kensinger

    Boston College

    Register to attend the webinar. Zoom details will be sent after registration.

    About Growing Up in Aging Neuroscience

    Any early-career researcher interested in aging neuroscience across a wide range of domains – including cognition, affect, memory, and everything in between – is invited to participate in Growing Up in Aging Neuroscience (GRAN). Our objective is to provide a setting in which junior researchers considering or pursuing a career in aging neuroscience can learn about the latest developments (and the people behind it). We have brought together world-class researchers across a wide range of career stages (from assistant to full professor) to present their work, as well as share their unique experiences relating to how they became investigators (inspired by the Growing Up in Science series), in hopes of encouraging junior researchers considering or pursuing a career in aging neuroscience.

    GRAN2020 will take place via a virtual and free webinar series in Fall 2020. To receive the zoom invite and passcode for each session, you will need to register for each session. Each session will be 1.5 hours long, with each speaker presenting their research and participating in a Q&A session at the end of each webinar.

    Abstracts

    “Emotion Regulation and Aging: What I used to think, what I think now, and why” (Derek Isaacowitz):

    For basically my whole career, I have been interested in trying to understand the mechanisms underlying older adults’ generally positive affective experience. Based on socioemotional selectivity theory, I spent a number of years investigating age-related positivity effects in attention, and whether these may play a role in older adults’ affective success. This then led to a wider investigation of emotion regulation strategies, including attentional deployment, that may vary by age. While our early work supported the age differences narrative, and sometimes the “older people are better” narrative, our more recent work has found much more similarity than differences among age groups in emotion regulation behavior, both in the lab and in everyday life. I will consider the implications of these findings for my own research trajectory as well as for the field in general.

    “How Older Adults Remember Emotional Events” (Elizabeth Kensinger):

    In this talk, I will first describe some similarities in the ways that young and older adults remember emotional events. In particular, across the adult lifespan individuals show emotional memory enhancements and also emotional memory trade-offs. I will then shift to focusing on ways in which age seems to affect the way that emotional experiences are remembered. In particular, older adults often appear to remember negative events less vividly, and with an increased focus on the silver linings. The negativity of emotional events also can fade over time for older adults. I will briefly describe how an expanded model of emotional memory that incorporates the role of the dorsomedial prefrontal cortex may elucidate these age-related differences.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 377385
    Neural mechanisms of human episodic memory formation
    Host: Dr. Wael Asaad
    More Information Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: 505338

     

    Center for Translational Neuroscience Special Seminar

     

    “Modeling late-onset neurodegenerative disorders with patient-derived neurons generated by neuronal reprogramming”

     

    Andrew S. Yoo, Ph.D.

    Associate Professor of Developmental Biology

    Washington University School of Medicine in St. Louis

     

    December 3, 2020 at 1:00 p.m.

     

    Zoom link: https://brown.zoom.us/j/97382218771?pwd=OWQ5OURXS0ZrKzVnWVluZW5kZ3AwZz09

    Passcode: 505338

     

    Host: Ashley E. Webb, Ph.D.

    More Information Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Dec
    3
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Speaker:Jacob Feldman (Professor Rutgers University - New Brunswick)

    Title: Complexity and information in category and feature learning

    Abstract: In this talk I will present two interrelated projects on category and feature learning, one on the role of complexity in the way we learning categories, and the other on the role of information measures in the way we learn the features that underlie categories. Conceptual complexity is known to impair concept learning, implying a kind of simplicity bias in the way we induce categories from examples. But past studies of complexity have been limited to discrete complexity measures, while the role of complexity in the general case—probabilistically defined categories in continuous feature spaces—is comparatively unexplored. I will discuss a series of experiments in which subjects were presented with probabilistic categories of various levels of intrinsic complexity. As with categories based on discrete features, subjects show a dramatic fall-off in performance with more complex category structures. But what is the right way to measure “complexity?” A comparison of measures suggests that a simple information-theoretic measure of category complexity best fits the data. In the second part of the talk I will discuss how category learning can influence the choice of underlying perceptual features. Category learning is known to induce “categorical perception” effects, in which discrimination performance along category-relevant or informative features measurably improves. But what is the right way to measure “informativeness?” A comparison of measures suggests again that a simple information-theoretic measure—the mutual information between the feature and the category variables—best fits the data. This finding suggests a “rational” basis for categorical perception, in which the precision of perceptual discrimination is tuned to the statistical structure of the environment

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • “Geometry of Object Representation in Visual Hierarchies”

    Haim Sompolinsky, Ph.D.
    The Hebrew University  

    Abstract: Neurons in object representations in top stages of the visual hierarchy exhibit high selectivity to object identity as well as to identity-preserving variables, including location, orientation and scale. suggesting that changes in the object representations from low to high processing stages are related to changes in the geometry of object manifolds. Each manifold consists of the set of population responses to stimuli belonging to the same object.

    In my talk, I will present recent work that elucidates the relation between manifold geometry and object-identity computations. I will discuss two kinds of computations. The first is object classification. I will describe new measures of manifold radius and dimensions that predict the ability to support object classification (Chung et al., PRX, 2018). Based on these measures, we characterize the changes in manifold geometry as signals propagate across layers of Deep Convolutional Neural Networks (DCNNs). Recordings from neurons in various stages of the visual systems, have been similarly analyzed, allowing us to test the correspondence between DCNNs and the visual hierarchy in the visual cortex.

    In a recent unpublished work with Ben Sorscher (Stanford), we have studied the ability to learn new objects and object categories from just a few examples (the few shot learning problem). We show that feature layers in DCNNs exhibit a remarkable ability in few shot learning of new categories. To explain this performance, we develop a new theory of the geometry of concept formation, that delineates the salient geometric features that underlie rapid concept formation in artificial and brain sensory hierarchies.

    More Information CCBS, Psychology & Cognitive Sciences, Research
  • BRENDEN LAKE

    Assistant Professor of Psychology and Data Science, NYU

    LEARNING THROUGH THE EYES OF A CHILD

    Young children have meaningful expectations about the world around them. What is the origin of this early knowledge? How much can be explained through generic learning mechanisms applied to sensory data, and how much requires more substantive innate inductive biases? Addressing this fundamental question in its full generality is infeasible, but we can hope to make real progress in more narrowly defined domains, such as the development of high-level visual categories, thanks to new datasets and progress in deep learning. We train large-scale neural networks through the eyes of a single developing child, using longitudinal baby headcam videos (Sullivan et al., 2020, PsyArxiv). Our results show how high-level visual representations emerge from a subset of one baby’s experience, through only self-supervised learning.

     
    Biography

    Brenden builds computational models of everyday cognitive abilities, focusing on problems that are easier for people than they are for machines. The human mind is the best-known solution to a diverse array of difficult computational problems: learning new concepts, learning new tasks, understanding scenes, learning a language, asking questions, forming explanations, amongst many others. Machines also struggle to simulate other facets of human intelligence, including creativity, curiosity, self-assessment, and commonsense reasoning.

    In this broad space of computational challenges, Brenden’s work has addressed a range of questions: How do people learn a new concept from just one or a few examples? How do people act creatively when designing new concepts? How do people learn qualitatively different forms of structure? How do people ask questions when searching for information?

    By studying these distinctively human endeavors, there is potential to advance both cognitive science and machine learning. In cognitive science, building a computational model is a test of understanding; if people outperform all existing algorithms on certain types of problems, we have more to understand about how people solve them. In machine learning, these cognitive abilities are both important open problems as well as opportunities to reverse engineer human solutions. By studying human solutions to difficult computational problems, Brenden aims to better understand humans and to build machines that learn in more powerful and more human-like ways.

     

    Follow Brenden on Twitter: @LakeBrenden

     

    DSI & CCMB Data Wednesday Seminar Series

    The Data Science Initiative (DSI) joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science. Please check our events page for more information on these and other events of interest.

    More Information 
  • Regina Binda is inviting you to a scheduled Zoom meeting.

    Topic: Aging & Dementia Research Presentation
    Time: Dec 2, 2020 01:00 PM Eastern Time (US and Canada)

    Join Zoom Meeting
    https://brown.zoom.us/j/94840086825

    Meeting ID: 948 4008 6825
    One tap mobile
    +13017158592,,94840086825# US (Washington D.C)
    +13126266799,,94840086825# US (Chicago)

    Dial by your location
    +1 301 715 8592 US (Washington D.C)
    +1 312 626 6799 US (Chicago)
    +1 646 558 8656 US (New York)
    +1 253 215 8782 US (Tacoma)
    +1 346 248 7799 US (Houston)
    +1 669 900 6833 US (San Jose)
    877 853 5247 US Toll-free
    877 369 0926 US Toll-free
    Meeting ID: 948 4008 6825
    Find your local number: https://brown.zoom.us/u/atBHGwdv2

    Join by SIP
    [email protected]

    Join by H.323
    162.255.37.11 (US West)
    162.255.36.11 (US East)
    115.114.131.7 (India Mumbai)
    115.114.115.7 (India Hyderabad)
    213.19.144.110 (Amsterdam Netherlands)
    213.244.140.110 (Germany)
    103.122.166.55 (Australia)
    64.211.144.160 (Brazil)
    69.174.57.160 (Canada)
    207.226.132.110 (Japan)
    Meeting ID: 948 4008 6825

     

    Aging and Dementia Research Presentation

     Sponsored by: The Norman Prince Neurosciences Institute

    In Association with:

    The Rhode Island Hospital Alzheimer’s Disease & Memory Disorders Center

     “Pupil Measurement as a Novel,

    Non-Invasive Biomarker of Risk for Alzheimer’s Disease”

     Laura Korthauer, PhD

    Assistant Professor

    Department of Psychiatry and Human Behavior

     December 2, 2020

    1 to 2 PM

    Via Zoom

    More Information 
  • Dec
    2
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Misha Oraa Ali (PhD student, Brown)

    Title: (When) do children learn the distributivity of “each”?

    Abstract: Since Inhelder and Piaget (1964), many studies show children making non-adult-like ‘quantifier spreading errors’ in understanding expressions like, “Each girl rode an elephant”. Young children often face difficulties binding the appropriate quantifier to the right noun. Since Brooks and Braine (1996), a parallel literature investigates children’s resolution of scope ambiguities: Does “each girl rode an elephant” mean one elephant, or one-per-girl? Both literatures presuppose that children know the logical words (“each”, “a”), and struggle with their composition. But children’s non-adult-like behavior is unsurprising if they just don’t know what “each” means. Additionally, many of these studies, which assume that children can indeed comprehend “each”, claim to be investigating children’s acquisition of distributivity (that the predicate applies to each individual member of the set) and universality (that the predicate applies to all members contained in a set, without exception) in their comprehension of quantifiers like “all”, “every”, and “each”. However, the question of when children actually acquire distributivity in their compositional toolkits also remains open. Understanding how children learn the meanings of function words like “each”, “every” and “all” will give us important insights into the compositional machinery underlying many aspects of cognition. These words have abstract logical meanings that children cannot learn by reference to anything in the world, the way they might learn words like “tiger” or “rutabaga”. My project aims to evaluate children’s understanding of the universal quantifiers “all”, “every” and “each” in English. While these words have similar, abstract meanings, they also differ in subtle ways. How do children acquire an understanding of these subtle differences in meanings, and at what age?

    Bio: Hi! I’m currently a PhD student in the Brown Language and Thought Lab, where I do research with Roman Feiman

    I was a research assistant at the Harvard Lab for Developmental Studies, working with Elizabeth Spelke and Rhea Howard. Before that, I was a research support associate in the LanguageLab (TedLab) with Edward A Gibson and Paula Rubio-Fernandez at the Department of Brain and Cognitive Sciences at MIT. I have also been involved with Project Prakash, an initiative from the Sinha Lab for Vision Research at MIT.

    I received my Bachelor’s degree in May 2017 from Mount Holyoke College, with a major in Neuroscience and Behaviour and a special minor in Graphic Narrative and Visual Storytelling. In college, I did my thesis research with Mara Breen where I used ERP to study auditory imagery and implicit prosody - specifically, by investigating the effects of rhythm and metrical structure on poetry during silent reading.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Dec
    2
    Virtual
    11:00am - 12:30pm

    DPHB Academic Grand Rounds

    Join Virtual EventInstructions: dphb

    Psychological and Developmental Impact of Trauma, Violence, and Racism: From Research to Service and Advocacy

    Maureen Allwood, Ph.D.
    Professor, Department of Psychology
    John Jay College of Criminal Justice

    City University of New York

    Wednesday, December 2, 2020 ◊ 11:00 am - 12:30 pm

    Course Link: https://cme-learning.brown.edu/DPHB-Series-2021

    Join December 2, 2020 Zoom Meeting: https://brown.zoom.us/j/97760079559

    Meeting ID: 977 6007 9559

    Password: dphb

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Physical & Earth Sciences, Psychology & Cognitive Sciences, Research, Social Sciences
  • Dec
    1
    Virtual
    4:00pm - 5:30pm

    Lecture by Dr. Eric Garland, Ph.D.,LCSW

    Please join the Brown Contemplative Studies Initiative and the Center for Mindfulness for a lecture by Dr. Eric Garland, Ph.D., LCSW on “Mindfulness-Oriented Recovery Enhancement Heals Opioid Misuse and Chronic Pain by Restructuring Reward:  From Hedonic Pleasure to Self-Transcendent Meaning” on December 1st from 4 - 5:30 pm EST.  This event is free and open to the public.  However, you must register with [email protected] to receive the Zoom link. 

    Dr. Eric Garland, PhD, LCSW is Distinguished Endowed Chair in Research, Professor and Associate Dean for Research in the University of Utah College of Social Work, and Director of the Center on Mindfulness and Integrative Health Intervention Development (C-MIIND). Dr. Garland is the developer of an innovative mindfulness-based therapy founded on insights derived from cognitive, affective, and neurobiological science, called Mindfulness-Oriented Recovery Enhancement (MORE). As Principal Investigator or Co-Investigator, Dr. Garland has over 175 scientific publications and has received more than $50 million in research grants from the NIH, DOD, and PCORI to conduct translational research on biopsychosocial mechanisms implicated in addiction, emotion dysregulation, and chronic pain, including randomized controlled trials of MORE and other mindfulness-based interventions as treatments for opioid misuse and addiction. To complement his expertise in clinical research, Dr. Garland is a licensed psychotherapist with more than 15 years of clinical experience providing mind-body therapies for persons suffering from addictive behaviors, psychological disorders, and chronic pain. In 2019, he was appointed by NIH Director Dr. Francis Collins to the NIH HEAL Multi-disciplinary Working Group comprised of national experts on pain and addiction research to help guide the $1.1 billion HEAL initiative aimed at using science to halt the opioid crisis.

    More Information Academic Calendar, University Dates & Events, Biology, Medicine, Public Health, Philosophy, Religious Studies, Psychology & Cognitive Sciences, Research
  • Dec
    1
    Virtual
    12:00pm

    EEB Tuesday Seminar Series

    Dr. Sabrina Burmeister- University of North Carolina, Chapel Hill

     

    Talk Title: Frognition: Poison Frogs and the Ecology of Spatial Memory

    More Information 
  • Join the Carney Institute for Brain Science for a conversation focused on Alzheimer’s research at Brown University, featuring:

    • Stephen Salloway, Martin M. Zucker Professor of Psychiatry and Human Behavior at Brown, director of neurology and the Memory and Aging Program at Butler Hospital in Providence, RI
    • Ashley Webb, Richard and Edna Salomon Assistant Professor of Molecular Biology, Cell Biology and Biochemistry

    This event will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, CTN, Psychology & Cognitive Sciences, Research
  • Nov
    23
    Virtual
    3:00pm - 4:00pm

    Workshop - Advanced Slurm

    This workshop is for people who are already familiar with Slurm, but would like to use Slurm’s more powerful features. Topics covered include: dependencies for conditional execution of jobs, job arrays for parameter sweeps, dealing with hundreds or thousands of small tasks, how to limit the number of jobs running at once, and how to cancel multiple jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Nov
    23
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Angeline Tsui (Postdoc Stanford University)

    Title: Language development of bilingual infants

    Abstract: Many children in the US and around the world are growing up as bilinguals: Nearly 22% of children in the US are learning two or more than two languages at home. The prevalence of bilingualism calls for research investigating the foundations of successful early bilingual language development. My research program answers this call by investigating how bilingual infants handle the demands of learning two languages and in what ways bilinguals differ from monolinguals in their language development. In my talk, I will present evidence that learners can use subtle cues to overcome the challenges of learning two languages in a bilingual environment. On the other hand, most of the time, bilingual infants do not differ from monolingual infants in their word learning, cognitive development and preferences for infant-directed speech. Together, these findings suggest that early bilingualism does not hinder children’s language development relative to their monolingual counterparts. Finally, I will discuss my current and future work extending this research program to real-world educational and clinical applications through the use of collaborative methods and large-scale data collection.

    Bio:  I am a postdoctoral scholar working with Michael C. Frank at Stanford University. My primary research focuses on bilingual infant word learning. I study (i) how young bilingual learners handle the demands of learning two languages in their environments and (ii) whether bilinguals and monolinguals differ in language development and what may drive the difference. More recently, I have focused on the use of large-scale, multi-site studies to examine whether key infancy research findings can be generalized to different populations. I also have a strong interest in advancing infancy research through open science and best research practices (e.g., appropriate use of statistical methods in data analysis).

    My secondary research interest is related to young children’s future-oriented behavior. In particular, I am interested in investigating what motivates children to save for their future and how to foster their saving behavior.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Nov
    20
    Virtual
    4:00pm - 5:00pm

    MCBGP Data Club: Reilly/D’Ordine

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    Shanelle Reilly
    (Brossay Lab)

    “The characterization of MCMV specific Qa-1 restricted CD8 + T cells.”

    _______________________

    Alexandra D’Ordine
    ((Sedivy/Jogl Labs))


    “Developing small molecule inhibitors of the LINE-1 retrotransposon endonuclease domain to target age-associated disease.”

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Physical & Earth Sciences, Research
  • Nov
    20
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Tomer Ullman (Assistant Professor Harvard)

    Title: Models of Core Knowledge (Physics, Really)

    Abstract: Even young children seem to have an early understanding of the world around them, and the people in it. Before children can reliably say “ball”, “wall”, or “Saul”, they expect balls to not go through walls, and for Saul to go right for a ball (if there’s no wall). What is the formal conceptual structure underlying this commonsense reasoning about objects and agents? I will raise several possibilities for models underlying core intuitive physics as a way of talking about models of core knowledge and intuitive theories more generally. In particular, I will present some recent ML work trying to capture early expectations about object solidly, cohesion, and permanence, that relies on a rough-derendering approach

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Emerging areas such as virtual reality and machine learning present new opportunities and challenges for the research of data visualization. To these, we propose to follow user-centric approaches to understand users and then to develop computational approaches to further model and predict users’ behavior. In this talk, I will first introduce three completed studies where we assessed users’ cognition and perception and one study where we modeled human perception of visualization. I will then introduce detailed plans for two proposed projects; they aim to advance computational approaches to describe, quantify, and model users’ behavior centered around data visualization. The first project will apply machine learning to precisely model and predict human perception of correlation in scatterplots. I will present the background, the preliminary dataset, a data collection plan, and a list of plausible machine learning techniques. The outcome of this project would be a set of practices and observations that could automate visualization evaluation and modeling approaches. The second project will develop informative performance metrics based on users’ movements in a virtual reality environment and then use information theory to evaluate these metrics. I will present the datasets we intend to use, the example metrics proposed, and the evaluation plan. The outcome of this project would be a set of metrics that could facilitate future empirical studies in virtual reality. We anticipate that the end results of this thesis will improve user performance and enhance user experience in virtual reality and machine learning; and, in turn, new techniques and methods from virtual reality and machine learning will also cope with the user-centric computational approaches to data visualization.
    Host: Professor David H. Laidlaw
    More Information 
  • PLEASE NOTE THIS TALK IS FOR FACULTY ONLY.  

     

    THIS TALK HAS BEEN RESCHEDULED TO BEGIN AT 1:00 PM.

     

    BRENDA RUBENSTEIN

    Joukowsky Family Assistant Professor of Chemistry, Brown University

    LEARNING QUANTUM MECHANICS: HOW MACHINE LEARNING IS (AND IS NOT) TRANSFORMING THE PRACTICE OF QUANTUM MECHANICS

    Much of our ability to understand the quantum world, including how to design new materials, synthesize new molecules, and study puzzling emergent quantum phases, rests upon our ability to accurately solve the Schrodinger Equation. While the recipe for solving the Schrodinger Equation has been known for over a century, the cost of finding its exact solutions scales exponentially with system size, a fact which has frustrated the progress of quantum chemistry and physics for decades. The rise of data science, however, presents new and exciting opportunities for potentially accelerating the solution of the Schrodinger Equation - or foregoing its solution whatsoever by directly predicting quantum properties. In this talk, I will describe how machine learning is and isn’t transforming our ability to model quantum phenomena drawing upon examples from my own group’s research and the wider literature.

     
    Biography:

    Dr. Brenda Rubenstein is currently the Joukowsky Family Assistant Professor of Chemistry at Brown University. While the focus of her work is on developing new electronic structure methods, she is also deeply engaged in rethinking computing architectures. Prior to arriving at Brown, she was a Lawrence Distinguished Postdoctoral Fellow at Lawrence Livermore National Laboratory. She received her Sc.B.s in Chemical Physics and Applied Mathematics at Brown University, her M.Phil. in Computational Chemistry while a Churchill Scholar at the University of Cambridge, and her Ph.D. in Chemical Physics at Columbia University. Ask her about basketball - you may be surprised!

     

    Faculty for Faculty Research Talks

    This is an opportunity for faculty to share current data science-related research activities with other faculty colleagues in an informal and interdisciplinary environment. More about this series on our website.

    More InformationRegistration for this event is now closed. 
  • Nov
    20
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Nov
    19
    Virtual
    5:00pm - 7:00pm

    Annual CS Research Open House

    Welcome to the 5th Annual CS Research Open House, hosted by the MURAs!

    This is a great way to get to know more about research in the department, no matter what year, concentration, or classes you’re in. Lots of groups are recruiting new researchers to join their team - this is the perfect opportunity to start thinking about research for next semester!

    This year, the event will be held remotely. There will be brief introductions from each group (recorded) followed by a breakout room Q&A (not recorded) that participants can enter and leave freely.

    As always, reach out to us at [email protected] if you have any questions!

    RSVP: https://www.facebook.com/events/4834613723278028

    Participating Research Groups: https://docs.google.com/document/d/1i_ybxAEO6M_otXPd-TCn-KEJNTgQscx_IL8XxNqkbNE/preview

    Host: Meta Undergraduate Research Assistants (MURAs)

    More Information 
  • Carney Methods Meetups: Beyond the Brady Bunch Meeting

    Join the Carney Institute for Brain Science for a Carney Methods Meetups, an informal gathering focused on methods for brain science, on Thursday, November 19, at 2 p.m.

    Jason Ritt, Carney’s scientific director of quantitative neuroscience, David Sheinberg, professor of neuroscience, and Andrew Creamer, scientific data management specialist in the Brown Library, will lead an open discussion of tools and tricks to enhance virtual meetings for brainstorming, collaborative manuscript editing, poster presentation, social events, and others. Some tools like OBS studio and spatial.chat will be briefly demonstrated, and we invite further ideas from the community.

    Please note, this workshop requires you to be logged into Zoom through your Brown account. Click to learn more.

    Notes from previous Meetups are available online.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Teaching & Learning
  • Nov
    19
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.  

    Speaker:Zhiyan Wang (CLPS Grad Student at Watanabe Lab)

    Title: Visual perceptual learning of faces- a study with Body Dysmorphic Disorder Patients


    Abstract: Visual perceptual learning (VPL) is defined as a long-term performance change on a visual task as a result of visual experiences(Watanabe & Sasaki, 2015). The majority of previous VPL researches have focused onlower-level visual features using artificial visual stimuli. However, themechanisms of VPL on natural stimuli remains elusive. Moreover, VPL has been studied as an intervention for patients with visual deficits that originated from lower-level visual areas (Polat et al., 2004) (e.g. amblyopia, glaucoma). There is a limited number of studies that explore the effect of VPL on patients whose deficits originated from high-level visual areas. In this talk, I will present a study that investigates VPL of faces with body dysmorphic disorder (BDD) patients. BDD patients are characterized by distressing preoccupation with slight defects in appearances. First, I will describe the behavioral changes for the BDD patients after VPL of faces. Second, I will discuss the neural mechanisms underlying the changes in association with VPL of faces. Our study demonstrates the effect of VPL on natural stimuli and explores the effect of VPL on patient populations with deficits from high-level visual areas.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: 847067

    “Mechanisms of neuronal wiring”

    More Information Biology, Medicine, Public Health, Research
  • Please join Carney’s Center for Computational Brain Science (CCBS) on November 18 for a special seminar on “Differential Resilience of Neurons and Networks with Similar Behavior to Perturbation,” featuring Eve Marder, Ph.D., university professor and Victor and Gwendolyn Beinfield Professor of Biology at Brandeis University.

    Please note, you must be logged into Zoom through your Brown account to join this event. 

    Abstract:

    Both computational and experimental results in single neurons and small networks demonstrate that very similar network function can result from quite disparate sets of neuronal and network parameters. Using the crustacean stomatogastric nervous system, we study the influence of these differences in underlying structure on differential resilience of individuals to a variety of environmental perturbations, including changes in temperature, pH, potassium concentration and neuromodulation. We show that neurons with many different kinds of ion channels can smoothly move through different mechanisms in generating their activity patterns, thus extending their dynamic range.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • NANDITA GARUD

    Assistant Professor, Ecology and Evolutionary Biology, UCLA

    RAPID ADAPTATION IN NATURAL POPULATIONS: LESSONS FROM DROSOPHILA AND THE HUMAN MICROBIOME

    The availability of whole-genome data from natural populations has challenged many long-standing assumptions about molecular evolution. For example, it has long been assumed that natural selection is typically slow and infrequent. Using whole-genome data from both Drosophila and the human microbiome, I found evidence that rapid adaptation is much more pervasive than previously thought. In my talk, I will first describe a method I developed to detect soft sweeps, a signature of rapid adaptation, and its application to Drosophila and other, non-model organism data. Next, I will show that selective sweeps of genes and SNPs in bacteria in the human microbiome are common on 6-month time scales and that these sweeps likely originate in adaptive introgression from other species and strains in the microbiome. This suggests that complex ecological communities can play an important role in shaping evolution on short time scales. In sum, I will describe how we can leverage whole-genome data and novel statistics for uncovering the mode and tempo of adaptation in natural populations.

    DSI & CCMB Data Wednesday Seminar Series

    The Data Science Initiative (DSI) joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science. Please check our events page for more information on these and other events of interest.

    More Information 
  • Nov
    18
    Virtual
    1:00pm - 3:00pm

    Biology of Aging Seminar: Malene Hansen

    Dr. Hansen is a Professor in the Program for Development, Aging and Regeneration at the Sanford Burnham Prebys Medical Discovery Institute (SBP), a non-profit research institute located in San Diego, CA, where she studies molecular mechanisms of aging with a focus on the cellular recycling process called autophagy. She obtained a Master of Science in biochemistry in 1998, and a doctorate in molecular biology in 2001, both from Copenhagen University, Denmark. Dr. Hansen subsequently carried out postdoctoral studies in the laboratory of Professor Cynthia Kenyon, Ph.D., at the University of California, San Francisco, a world leader in the genetics of aging. She started her laboratory at SBP in the fall of 2007, and currently serves as Associate Dean of Student Affairs in SBP’s accredited graduate program, and as Faculty Advisor on Postdoctoral Training for SBP’s ∼150 postdoctoral scholars. In recognition of her mentoring efforts, Dr. Hansen has received the 2017 Mentor Award from the USA National Postdoctoral Association.
    The event will require a password. If you are not affiliated with the Center on the Biology of Aging  and would like to participate, please contact the program coordinator for the password.
    More Information 
  • In this lecture, I show how considering the intersection of collaborative and social scenarios with other domains of computing can reveal end-user needs and result in innovative technical systems. I give examples of this approach from my work in gesture interaction, information retrieval, and accessibility, focusing particularly on the topics of creating more efficient and expressive augmentative and alternative communication technologies and of making social media more accessible to screen reader users. I close by identifying future opportunities for creating inclusive, accessible collaborative and social technologies.
     
    Meredith Ringel Morris is a Sr. Principal Researcher at Microsoft Research and Research Area Manager for Interaction, Accessibility, and Mixed Reality. She founded Microsoft Research’s Ability research group and is a member of the lab’s Leadership Team. She is also an Affiliate Professor at the University of Washington in the Allen School of Computer Science & Engineering and in The Information School. Dr. Morris is an expert in Human-Computer Interaction; in 2020, she was inducted into the ACM SIGCHI Academy in recognition of her research in collaborative and social computing. Her research on collaboration and social technologies has contributed new systems, methods, and insights to diverse areas of computing including gesture interaction, information retrieval, and accessibility. Dr. Morris earned her Sc.B. in Computer Science from Brown University and her M.S. and Ph.D. in Computer Science from Stanford University.
    Hosts: Professors Jeff Huang/Andy van Dam
    More Information 
  • “A dedicated brainstem circuit underlies REM sleep control—implication for Synucleinopathies”

    Jimmy Fraigne, Ph.D.

    Associate Professor, Department of Cell and Systems Biology

    University of Toronto

    Abstract:

    A specific brainstem circuit controls REM sleep. Degeneration of this circuit underlies REM sleep behavior disorder (RBD), which is characterized by excessive movement that often result in patient injuries. However, the most alarming aspect of RBD is that 80-90% of patients eventually develop a synucleinopathy like Parkinson’s disease or dementia with Lewy bodies.

    About the PSRIG seminar series:

    The PSRIG seminar series has been hosted by Dr. Mary Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    This year, the series will be held virtually and involve a diverse lineup of speakers from various institutions both nationally and internationally. Seminars will be held at 12 p.m. on the 3rd Tuesday of each month. If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected].

    More Information Biology, Medicine, Public Health, Research
  • Audrey Tyrka, MD, PhD
    Co-Director, STAR Initiative: Stress, Trauma, and Resilience
    Professor of Psychiatry and Human Behavior, The Warren Alpert Medical School
    Directory, Laboratory for Clinical and Translational Neuroscience at Butler Hospital

    Dr. Tyrka’s research program is focused on the biological mechanisms of risk resulting from early stress and trauma in maltreated children and adults with a history of childhood adversity. She has made important contributions to understanding the metabolic, genetic, and epigenetic mechanisms of risk.

    The Decoding Disparities Lecture Series

    The Decoding Disparities Lecture Series is sponsored by The Warren Alpert Medical School of Brown University and the Brown School of Public Health to examine health inequity and to outline steps toward a more equitable and just health care system.

    The series is supported by The Paul Levinger Professorship Pro Tem in the Economics of Health Care. This lecture was established in 1987 to honor the memory of Paul Levinger by a gift from his wife, Ruth N. Levinger, on behalf of the Levinger family. The Levingers’ daughter and son-in-law, Bette Levinger Cohen and John M. Cohen ’59, MD were instrumental in Mrs. Levinger’s decision to make this gift.

    Continuing Medical Education Credit

    This live activity is approved for AMA PRA Category 1 Credit

    Physicians: To be eligible to claim CME credit, please register for this event at cme-learning.brown.edu

    More InformationRegistration for this event is now closed. decodingdisparities
  • Nov
    16
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Large-scale non-linear least squares (NLLS) optimization problems lie at the core of many graphics, vision, and imaging applications. The mathematical descriptions of these objective functions are extremely concise, but, in order to use them in interactive applications, solvers are often implemented by hand in tedious and error-prone processes (in particular on GPUs). High-level libraries exist but are orders of magnitude slower than specialized optimized implementations. Even competing handwritten implementations can vary in performance by multiple orders of magnitude, depending on the problem. A survey of existing work reveals that the key for high performance is a problem-specific schedule that enables efficient usage of the underlying hardware.

    Cleanly separating the energy formulation and organization of computation from implementation details of NLLS using a domain-specific language (DSL) enables generation of high performance massively parallel solvers from high-level specifications.

    I introduce Thallo, a DSL for large-scale non-linear least squares optimization problems. I observed various code reorganizations performed by implementers of high-performance solvers in the literature, and then define a set of basic operations that span these scheduling choices, thereby defining a large scheduling space. Users can either specify code transformations in a scheduling co-language or use an autoscheduler. Thallo takes as input a compact, shader-like representation of an energy function and a (potentially auto-generated) schedule, translating the combination into high-performance GPU solvers.

    Since Thallo can generate solvers from a large scheduling space, it can handle a large set of large-scale non-linear and non-smooth problems with various degrees of non-locality and compute-to-memory ratios, including diverse applications such as as-rigid-as-possible mesh deformation, bundle adjustment, face tracking, and spatially-varying Poisson deconvolution. By abstracting schedules from the energy formulation, and using a domain-specific compiler, we outperform the fastest state-of-the-art high-level system, the Ceres solver library, by 50-1500x, and even slightly outperform handwritten GPU solvers for all comparisons.

    Michael researches systems, compilers, algorithms, and applications for enabling new visual computing experiences by accelerating performance through harnessing massively parallel GPUs and accelerating prototyping through high-performance Domain Specific Languages (DSLs) that target said GPUs. Target application domains include real-time direct optimization, global illumination, augmented and virtual reality, and 3D reconstruction.

    He started down this path making realistic realtime rendering faster at Williams College and NVIDIA research; this continued through realtime reflection and raycasting display work for Unity Technologies and Oculus Research. His PhD work in Pat Hanrahan’s lab at Stanford University brought him up an abstraction layer, from making visual computing applications fast to making it fast to write fast visual computing applications through the design of high performance domain-specific languages.

    He is spending a chunk of his lockdown time falling off a surfboard in a socially-distanced manner.
    Host: Professor Daniel Ritchie
    More Information 
  • Nov
    16
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Caren Walker (Assistant Professor University of California, San Diego)

    Title: Achieving Abstraction: The early appearance of Relational Reasoning

    Abstract: Children’s emerging ability to acquire and apply relational same-different concepts is often cited as a defining feature of human cognition, providing the foundation for abstract thought. Yet, young learners often struggle to ignore irrelevant surface features to attend to structural similarity instead. This has led to the widespread belief that children initially lack relational concepts, which only gradually develop over time. I will begin by reviewing work demonstrating early competence in relational reasoning and propose a novel theoretical approach that challenges the traditional view. Specifically, I will argue that young children have-and retain-genuine relational concepts from a young age, but tend to neglect abstract similarity due to a learned bias to attend to objects and their properties. This account predicts that differences in the structure of children’s environmental input should lead to differences in the type of hypotheses they privilege and apply. I will then present new empirical data in support of this alternative account, emphasizing (1) the robustness of early competence in relational reasoning, (2) the conditions under which older children privilege relational or object similarity, and (3) the causal role of contextual factors on abstract reasoning. Together, these studies provide evidence that the development of abstract thought may be far more malleable and context-sensitive than previously thought.

    Research Interests: My research explores how children learn and reason about the causal structure of the world. In particular, I am interested in how even very young learners are able to acquire abstract representations that extend beyond their observations, simply by thinking. How is “learning by thinking” possible? What does this phenomenon tell us about the nature of early mental representations and how they change? To begin to answer these questions, my work focuses on a suite of activities that impose top-down constraints on human inference (e.g., analogy, explanation, and engagement in imaginary worlds). I also explore the development of scientific thinking and reasoning, including children’s understanding of uncertainty. My approach is interdisciplinary, combining perspectives in psychology, philosophy, education, and computational theory.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Nov
    16

    Juned Siddique, DrPH

    Associate Professor

    Departments of Preventive Medicine and Psychiatry and Behavioral Sciences

    Northwestern University Feinberg School of Medicine

    Bio:  Dr. Siddique’s research efforts focus on developing statistical methods for handling incomplete or missing data. He applies these methods to a range of problems including rater bias, participant dropout, data harmonization in individual participant data analysis, and measurement error. He collaborates closely with lifestyle intervention researchers and is interested in the analysis of diet and physical activity data.

    Title:  “Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study”

    Abstract: In lifestyle intervention trials, where the goal is to change a participant’s weight or modify their eating behavior, self-reported diet is a longitudinal outcome variable that is subject to measurement error. We propose a statistical framework for correcting for measurement error in longitudinal self-reported dietary data by combining intervention data with auxiliary data from an external biomarker validation study where both self-reported and recovery biomarkers of dietary intake are available. In this setting, dietary intake measured without error in the intervention trial is missing data and multiple imputation is used to fill in the missing measurements. Since most validation studies are cross-sectional, they do not contain information on whether the nature of the measurement error changes over time or differs between treatment and control groups. We use sensitivity analyses to address the influence of these unverifiable assumptions involving the measurement error process and how they affect inferences regarding the effect of treatment. We apply our methods to self-reported sodium intake from the PREMIER study, a multi-component lifestyle intervention trial.

    For more information about the Statistics Seminar Series go here.

    More Information Biology, Medicine, Public Health, BioStatsSeminar, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Nov
    13
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.  

    Speaker:Sa-kiera Hudson (Postdoc at Yale)

    Title: The connection between hierarchy preferences and (counter-) empathic responding

    Abstract: Social dominance orientation (SDO) measures the extent to which people accept and promote group-based inequality and is positively associated to prejudicial attitudes and behaviors. Despite the large body of scholarship on SDO, we know little about the relationship between SDO and emotions. In this talk I will argue that SDO is tied to people’s willingness to feel empathy and counter-empathy towards others but especially competitively threatening, low status others. First, I provide evidence that SDO is negatively associated with feeling empathy for others and positively associated with feeling counter-empathy, and that competitive group settings exacerbated these relationships. Second, I suggest that this relationship is motivated, as people with higher levels of SDO make similar forecasts of others’ emotions as do those low in SDO, but they desire to feel less empathy toward low-status targets and when given a choice, choose to feel less empathy and more schadenfreude. Lastly, I discuss a preliminary model that explicates how SDO’s relationship with downstream behaviors and policy preferences are mediated by (counter-)empathic responding. This work contributes to the growing body of work on the role that ideologies play in driving emotions and empathic responses.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: The Zoom link will be emailed to registered faculty prior to the talk.

    Please note the following talk is only available to faculty members.

     

    ELI UPFAL

    Professor of Computer Science, Brown University

     

    BIG DATA: Where Practice Meets Theory

    Responsible and relevant data science requires rigorous analytical tools or evaluating and improving prediction and presentation accuracy. Here we’ll discuss techniques for enhancing the accuracy of weakly supervised learning and tools for measuring and reducing structural bias in hyperlinked data.

     

    (F4F) Faculty for Faculty Research Talks

    DSI Faculty for Faculty Research Talks are an opportunity for faculty to share current data science-related research activities with other faculty colleagues in an informal environment. The talks are presented at a very general level, to stimulate discussion and interdisciplinary interchange of ideas.

    Our goal is to provide a networking venue that promotes research collaborations between faculty across all disciplines; awareness of the breadth of data science-related research at Brown; and a forum for faculty to share their expertise with one another. Participation will be limited to faculty members.

    More InformationRegistration for this event is now closed. 
  • Nov
    13
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Title - TBA

    More Information Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: 505338

     

    Neuroscience Graduate Program 

    2020-2021 Bench to Bedside Seminar Series

     

    “Autism From Generation to Generation”

     

    Alison Singer, M.B.A. 

    Co-Founder and President,

    Autism Science Foundation

     

    November 12, 2020 at 4:00pm

    Zoom link: https://brown.zoom.us/j/98085255150?pwd=bVdRQVU1V2trVFdRU2lyNWRVU3pwUT09

    Passcode: 505338

     

    Organized by the Brown University Center for Translational Neuroscience

      

    Host: Eric M. Morrow, M.D., Ph.D.

    More Information Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Nov
    12
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.  

    Speaker:Nicole Rust (Associate Professor - University of Pennsylvania)

    Title: The neural mechanisms that support image memory


    Abstract: Humans and other primates have a remarkable ability to remember the images that they have seen, even after seeing thousands, each only once and only for a few seconds. In this talk, I will describe recent work from our group focused on the mechanisms that support visual familiarity memory in the primate brain. In the first part of the talk, I will describe the correlates of the natural variation with which some images are inherently more memorable than others, both the brain as well as deep neural networks trained to categorize objects. In the second part of the talk, I will focus on how information about visual familiarity is signaled and then decoded to produce visual familiarity behavior.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • “Lighting up the brain using new molecular tools”

    Ahmed Abdelfattah, Ph.D.

    Assistant Professor of Neuroscience (starting April 2021)

    Brown University

    Grab your lunch and join via Zoom (meeting details to follow)

    Please note, this meeting requires you to be logged into Zoom through your Brown account.

     

    Abstract:

    Animal behavior is produced by patterns of neuronal activity that span a wide range of spatial and temporal scales. Understanding how neural circuits mediate behavior thus requires high-speed recording from ensembles of neurons for long periods of time. In this talk I will describe different ways to record brain activity. Abdelfattah will specifically highlight how voltage imaging provides unparalleled spatial and temporal resolution of the brain’s electrical signaling at the cellular and circuit levels. Abdelfattah will describe his recent work to engineer genetically encoded voltage sensors that allow us to track membrane voltage from multiple neurons in behaving animals (1,2) and future challenges that we can address by engineering new molecular tools to monitor brain activity.

    • Abdelfattah, A. S. et al. Bright and photostable chemigenetic indicators for extended in vivo voltage imaging. Science.365, 699–704 (2019).
    • Abdelfattah, A. S. et al. A general approach to engineer positive-going eFRET voltage indicators. Nat. Commun.11, (2020).

     

     

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Nov
    12

    Advance-CTR Services Core users share the research projects they developed with help from the cores:

    Register now!

    More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Nov
    12
    Virtual
    11:00am - 12:00pm

    BME/Fluids Seminar: George Em Karniadakis

    The Center for Biomedical Engineering and the Center for Fluid Mechanics at Brown present a seminar:

    Title: Integrating Machine Learning and Multiscale Modeling in Biomedicine and Engineering

    Abstract: Machine learning has emerged as a powerful approach for integrating multimodality/multifidelity data, and for revealing correlations between intertwined phenomena and cascades of scales. However, machine learning alone does not explicitly take into account the fundamental laws of physics and thermodynamics and can result in ill-posed problems or non-physical solutions. Many human diseases are multiscale in nature, e.g., the sickle cell anemia, first characterized as molecular disease by Linus Pauling in 1949. Multiscale modeling is an effective strategy to integrate multiscale/multiphysics data and uncover mechanisms that explain the emergence of function, from the protein level to the organ level. However, multiscale modeling alone may fail to efficiently combine multimodality and multifidelity datasets. We believe that machine learning and multiscale modeling can naturally complement each other to create robust predictive models that integrate the underlying biophysics to manage ill-posed problems and explore massive design spaces. To this end, we will present a new approach to develop a data-driven, learning-based framework for predicting outcomes of biological systems and for discovering hidden biophysics from noisy data. We will introduce a deep learning approach based on neural networks (NNs) and generative adversarial networks (GANs). We will also introduce the DeepOnet that learns functionals and nonlinear operators from functions and corresponding responses for system identification. Unlike other approaches that rely on big data, here we “learn” from small data by exploiting the information provided by the physical conservation laws, reactive transport and thermodynamics, which are used to obtain informative priors or regularize the neural networks. Our multidisciplinary perspective suggests that integrating machine learning and multiscale modeling can lead to creation of medical digital twins, hence, providing new insights into disease mechanisms, help discover new treatments, and inform decision making for the benefit of human health.

    Bio: George Karniadakis is from Crete. He received his S.M. and Ph.D. from Massachusetts Institute of Technology (1984/87). He was appointed Lecturer in the Department of Mechanical Engineering at MIT and subsequently he joined the Center for Turbulence Research at Stanford / Nasa Ames. He joined Princeton University as Assistant Professor in the Department of Mechanical and Aerospace Engineering and as Associate Faculty in the Program of Applied and Computational Mathematics. He was a Visiting Professor at Caltech in 1993 in the Aeronautics Department and joined Brown University as Associate Professor of Applied Mathematics in the Center for Fluid Mechanics in 1994. After becoming a full professor in 1996, he continues to be a Visiting Professor and Senior Lecturer of Ocean/Mechanical Engineering at MIT. He is an AAAS Fellow (2018-), Fellow of the Society for Industrial and Applied Mathematics (SIAM, 2010-), Fellow of the American Physical Society (APS, 2004-), Fellow of the American Society of Mechanical Engineers (ASME, 2003-) and Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA, 2006-). He received the Alexander von Humboldt award in 2017, the Ralf E Kleinman award from SIAM (2015), the inaugural J. Tinsley Oden Medal (2013), and the CFD award (2007) by the US Association in Computational Mechanics. His h-index is 103 and he has been cited over 52,000 times.

    More Information Fluids
  • PLEASE NOTE THE SPECIAL TIME FOR THIS EVENT!  

    DAMON CENTOLA

    Professor, Annenberg School for Communication, School of Arts and Sciences, and the School of Engineering and Applied Sciences

    Director of the Network Dynamics Group

    Senior Fellow, Leonard Davis Institute of Health Economics

    University of Pennsylvania

     

    HOW SIMILAR MEANING SYSTEMS EMERGE ACROSS DIVERSE CULTURES

    Categories are everywhere. Everything we touch, eat, and do is part of a system of categories that define our world. Although there is widespread agreement in society about the categories used for familiar objects – from furniture to fruit – recent studies have found that individuals vary widely in how they categorize novel and ambiguous phenomena. This individual variation has led influential theories in cognitive and social science to suggest that communication in large social groups introduces path dependence in category formation, which is expected to lead separate populations toward divergent cultural trajectories. Remarkably, however, similar category systems for color, animals, plants, and shapes are found to arise independently across many cultures around the world. How is it possible for diverse populations, consisting of individuals with significant variation in how they categorize the world, to nevertheless independently construct similar category systems? We investigated this puzzle experimentally by creating an online “Grouping Game” in which we observed how people in small and large populations collaboratively constructed category systems for a continuum of ambiguous stimuli. In this talk, I present new findings showing that solitary individuals and small groups produce highly divergent category systems; however across independent trials with unique participants, large populations consistently converge on highly similar category systems. I present a new theory of critical mass dynamics in social networks, which accurately predicts this process of “scale-induced category convergence”. These findings reveal how large communication networks can filter lexical diversity among individuals to produce replicable society-level patterns, yielding unexpected implications for cultural evolution.

    BIOGRAPHY

    Damon Centola is a Professor in the Annenberg School for Communication, the School of Arts and Sciences, and the School of Engineering and Applied Sciences at the University of Pennsylvania, where he is Director of the Network Dynamics Group and Senior Fellow at the Leonard Davis Institute of Health Economics.

    His research addresses social networks and behavior change. His work has been published across several disciplines in journals such as Science, Proceedings of the National Academy of Sciences, American Journal of Sociology, and Journal of Statistical Physics. Damon received the American Sociological Association’s Award for Outstanding Research in Mathematical Sociology in 2006, 2009, and 2011; the Goodman Prize for Outstanding Contribution to Sociological Methodology in 2011; the James Coleman Award for Outstanding Research in Rationality and Society in 2017; and the Harrison White Award for Outstanding Scholarly Book in 2019. He was a developer of the NetLogo agent based modeling environment, and was awarded a U.S. Patent for inventing a method to promote diffusion in online networks. He is a member of the Sci Foo community and Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford University.

    Damon’s research has been funded by the National Science Foundation, the Robert Wood Johnson Foundation, Facebook, the National Institutes of Health, the James S. McDonnell Foundation, and the Hewlett Foundation. He is a series editor for Princeton University Press, and the author of How Behavior Spreads: The Science of Complex Contagions, and Change: The Power in the Periphery to Make Big Things Happen.

    Before coming to Penn, Damon was an Assistant Professor at MIT and a Robert Wood Johnson Fellow at Harvard. Damon’s speaking and consulting clients include Amazon, Microsoft, Apple, Cigna, the Smithsonian Institution, the American Heart Association, the National Academies, the U.S. Army and the NBA. Popular accounts of Damon’s work have appeared in The New York Times, The Washington Post, The Wall Street Journal, Wired, TIME, The Atlantic, Scientific American and CNN.

     

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics and computer science. Please check our events page for more information on these and other events of interest.

    More Information 
  • Nov
    11
    Virtual
    12:00pm - 2:00pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Andrés Buxó-Lugo (Postdoc, University of Maryland) 

    Title: That was a question?: Encoding and decoding meaning through structured variability in intonational speech prosody

    Abstract: Speech prosody plays an important role in communication of meaning. However, how listeners use the prosodic signal to arrive at the intended meaning remains to be understood. Prosodic cues vary across talkers and speaking conditions, creating ambiguity in the sound-to-meaning mapping. We hypothesize that listeners ameliorate this ambiguity in part by learning talker-specific statistics of prosodic cues. To test this hypothesis, we investigate the production and recognition of question vs. statement prosody in American English. Experiment 1 elicits productions of questions and statements from 65 talkers to examine the distributional statistics characterizing within- and cross-talker variability in these productions. We use Bayesian ideal observer models to assess the predicted consequences of cross-talker variability on listeners’ recognition of prosody. We find that learning of talker-specific distributional statistics is predicted to facilitate recognition, above and beyond what can be achieved via commonly assumed normalizations of prosodic cues. Experiment 2 tests this prediction in a comprehension experiment. We expose different groups of listeners to different prosodic input statistics, and assess listeners’ recognition of questions and statements before and after exposure. Prior to exposure, ideal observer-derived predictions based on Experiment 1 provide a good qualitative fit against listeners’ recognition of prosodic contours in Experiment 2. Following exposure, listeners shift the categorization boundary between questions and statements in ways consistent with learning of talker-specific statistics. These results suggest that listeners build robust prosodic categories based on their language experience, yet are able to remain flexible and quickly adapt these categories when communicating with talkers that have novel prosody-to-meaning mappings.

    Bio: 

    I am currently a President’s Postdoctoral Fellow in the Psychology department at the University of Maryland.

    Broadly speaking, I am interested in what speech and prosody — the rhythm, intonation, and intensity of speech — reveal about the cognitive mechanisms that underlie language production, comprehension, and acquisition. An ongoing goal of mine has been to develop computational models of language production and comprehension.

    My latest research focuses on how listeners integrate information from a variety of cues, and on how people learn to understand and produce constructions that are not already familiar to them (e.g., new uses of prosody, pronunciations that are not native to their language, etc.).

    Some of my past research has explored what durational changes reveal about the mechanisms that underlie language production, how communicative context affects how speakers use prosody, and how listeners use information from other levels of language to parse prosodic structure.

    Before arriving at Maryland, I was a Postdoctoral Research Associate in the Brain and Cognitive Sciences Department at the University of Rochester. I got my PhD in Psychology at the University of Illinois at Urbana-Champaign, working in collaboration with Dr. Duane Watson. Before that, I got my BA in Psychology at the University of North Carolina at Chapel Hill, where I worked with Dr. Jennifer Arnold.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Nov
    11
    Virtual
    12:00pm - 1:30pm

    Introduction to REDCap

    Workshop Description
    Geared toward new or novice REDCap users, “Introduction to REDCap” answers “what” REDCap is, “why” you want to use it, and goes through the entire life cycle of a REDCap project – from initial setup to data entry and finally exporting your data.

    About the Instructor
    Sarah B. Andrea, PhD, MPH, is a research scientist with the Lifespan Biostatistics Core at Rhode Island Hospital. In addition to providing design and statistical oversight and mentorship, she also conducts research investigating strategies to mitigate race-, class-, and gender-based inequities in health throughout the life course. Dr. Andrea has been working with REDCap for five years.

    Register now!

    More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • Nov
    11
    Virtual
    11:00am - 12:00pm

    Child & Adolescent Psychiatry Grand Rounds

    Join Virtual EventInstructions: dphb

    Towards an Understanding of Dysregulation and Irritability in Children and Adolescents
    Robert Althoff, MD, PhD
    Vice Chair for Clinical Affairs
    Department of Psychiatry
    Larner College of Medicine at The University of Vermont
    Wednesday, November 11, 2020 ◊ 11:00 am - 12:00 pm
    Course Link: https://cme-learning.brown.edu/Child-Adolescent-2021
    November 11, 2020
    Join Zoom Meeting: https://brown.zoom.us/j/92959949097
    Meeting ID: 929 5994 9097
    Password: dphb

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • Nov
    10
    Virtual
    4:00pm - 6:00pm

    Biology of Aging PAARF

    Join Virtual EventInstructions: 7Fg7qn

    Kaitlyn Hajdarovic

    Webb Lab

    Nick Skvir

    Neretti Lab

     

    Topic: Brown Biology of Aging PAARF
    Time: Nov 10, 2020 04:00 PM Eastern Time (US and Canada)

    Join Zoom Meeting
    https://us02web.zoom.us/j/87613446734?pwd=aFBBQjRvdXNvRWJwbHYrSzVaRXNQUT09

    Meeting ID: 876 1344 6734
    Passcode: 7Fg7qn

    More Information 
  • Nov
    10
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.  

    Speaker: Liane Young (Associate Professor Boston College)

    Title: Social context shapes social cognition

    Abstract: As social creatures, we spend a lot of time thinking about the mental lives of those around us, both for social interaction and for moral evaluation. My talk today will explore the broad question of how social context shapes these processes, from a social neuroscience perspective. First, how is theory of mind (i.e., thinking about mental states) deployed for cooperation vs competition, understanding helpful vs harmful actions? Does mental state representation differ across social contexts? Second, how does mental state inference support the processing of social prediction error and moral updating, for helpful vs harmful agents, friends vs strangers? We will look at whether asymmetries in moral updating (e.g., for friends vs strangers) can be diagnosed as motivated or rational inference. Finally, we will turn to the question of how people evaluate others who treat close vs distant targets (e.g., family vs strangers) differently, and the role of obligation in moral character judgments. Overall, we will see that social context shapes how we think about other minds, how we form and update moral impressions, and how we evaluate obligation.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • This workshop will cover basic performance optimization techniques using MATLAB, including: code profiling, pre-allocation, sequential memory access, vectorization, and efficient matrix-vector storage and operations. We will assume that participants have a basic understanding of the MATLAB programming language.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Nov
    9
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Title:Uncovering the development of categories with Markov Chain Monte Carlo with children

    Abstract: Uncovering the representation of category structures and their underlying psychological spaces is crucial for understanding human learning. More importantly, charting these structures throughout development can give us important insight into how learning transforms these spaces and how changes are reflected in inference.

    While categorization has received much attention in cognitive and developmental science, experiments usually aim at uncovering the underlying representation indirectly, for example, by using measures such as similarity ratings or forced choices for particular category instances.

    In this talk, I will present an experimental paradigm, Markov chain Monte Carlo, with people (MCMCp) that directly targets these representations. This paradigm takes inspiration from a prominent statistical method and allows us to obtain samples from an arbitrary distribution. MCMCp allows experiments to flexibly explore the participants’ category representations without pre-specifying the test items. I will show how these types of experiments can be made into engaging and child-friendly tasks, and present preliminary results of an online experiment.

    Bio: I want to understand how the (human) mind represents the world and how this representation allows generalization and transfer. To analyze this I compare human learning and generalization with performance and dynamics of machine learning algorithms and computational models.

    My supervisor is Christopher Lucas. During my B.Sc. and M.Sc. I worked with Frank Jäkel at the University of Osnabrück , David Lagnado at UCL London and worked as a visiting Ph.D. student with Daphna Buchsbaum at the University of Toronto.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Thomas Jaki, PhD

    Professor of Statistics, Department of Mathematics and Statistics

    Lancaster University and     

    Programme Leader at the MRC Biostatistics Unit, University of Cambridge

     

    Bio: Thomas Jaki is a Professor in Statistics in the Department of Mathematics and Statistics at Lancaster University. His research interests include design and analysis of clinical trials, early phase drug development, personalized medicine and biostatistics.

    An Information-Theoretic Approach for Selecting Arms in Clinical Trials

     Abstract: The question of selecting the “best” amongst different choices is a common problem in statistics. In drug development, our motivating setting, the question becomes, for example: which treatment gives the best response rate or which dose of a treatment gives an acceptable risk of toxicity. In this talk I will introduce a flexible adaptive experimental design that is based on the theory of context-dependent information measures. I will show that the design leads to a reliable selection of the correct arm in the settings of Phase I and Phase II clinical trials.

    For more information about the Statistics Seminar Series go here.

    More Information Biology, Medicine, Public Health, BioStatsSeminar, Graduate School, Postgraduate Education, Mathematics, Technology, Engineering, Research, Training, Professional Development
  • Nov
    6

    This virtual event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    Mary Tarantino


    (Delaney Lab)


    “The effect of post-translational
    acetylation on the kinetics of
    thymine DNA glycosylase.”

    _______________________

    Sorel Ouonkap Yimga


    (Johnson Lab)


    “Mapping Temperature-Sensitive Loci Associatedwith Sexual Reproduction in Arabidopsis thaliana

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Physical & Earth Sciences, Research
  • Nov
    6
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Speaker:Marion Rouault (postdoc in the Department of Cognitive Studies- ENS Paris)

    Title: Metacognitive signals for learning and decision-making

    Abstract: Optimal decision-making requires integrating expectations about external outcomes – positive and negative – with current internal states. However in many real-life decisions we do not receive external feedback or rewards, and have to estimate our successes or failures from internal, metacognitive signals. In my talk I will present work on how humans use these learning signals to guide behaviour. I will first present evidence that in uncertain environments, the human prefrontal cortex weighs the pursuit of more reliable rewards against the prospect of larger ones, rather than computing and maximizing a subjective utility function. In subsequent work, I have investigated whether the ability to internally monitor and evaluate our own decisions can act as a learning signal in the absence of external feedback. In a series of behavioural and neuroimaging studies, I show that human subjects can incorporate local decision confidence to form global self-performance estimates over time, while also pervasively underestimating their performance in the absence of feedback. I will suggest that studying these internal metacognitive signals holds particular promise for shedding light on disorders of mental health. Combining computational models of decision-making and metacognition in a large-scale general population sample, I found dissociable shifts in confidence level and metacognitive ability associated with transdiagnostic psychiatric symptom dimensions, in the absence of alterations in the decision process. These findings represent a first canonical step towards understanding how distortions in self-evaluation are formed and maintained in psychiatric disorders.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Nov
    6
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 774467

    Exploring how the nervous system produces movement sequences

    More Information Biology, Medicine, Public Health, Research
  • Nov
    5
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Speaker:Kristina Visscher (Associate Professor of Neurobiology- University of Alabama at Birmingham)

    Title: The cortical underpinnings of central vs. peripheral vision, and changes after central vision loss

    Abstract: After loss of central vision, many patients learn to use peripheral vision to compensate. This is a profound change in visual experience, given that people with healthy vision use central vision and peripheral vision in vastly different ways. I will describe how central and peripheral vision are processed differentially, and describe my lab’s work examining how brain structure and connections are different for cortical regions associated with peripheral vs. central vision. I’ll then discuss our work examining how these structures and connections are changed as a function of long term experience with central vision loss. Loss of central vision, usually due to macular degeneration, is a window into understanding experience-driven plasticity in the adult human visual system.
    organized by Ivan Felipe Rodriguez & Zhenyu Zhu

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Nov
    5
    Virtual
    11:00am - 12:00pm

    BME Seminar: Hitten Zaveri, Yale

    Center for Biomedical Engineering Seminar

    Title: Wearable, Invisible and Implantable Devices for Epilepsy and Other Neurological Disorders

    Abstract: The diagnosis and management of epilepsy and other neurological disorders stands to benefit considerably from progress in wearable, invisible and implantable sensors and devices. In this presentation, I review work in these areas with a focus on the development of technologies for neuromonitoring, and challenges in the development of the next generation of sensors and devices. The presentation will be focused on epilepsy with extension to other disorders.

    Bio: Dr. Hitten Zaveri has received formal training in electrical engineering, computer engineering, biomedical engineering and epilepsy. He has founded and directs the Computational Neurophysiology Laboratory in the Department of Neurology at Yale University. His research interests lie at the intersection of neuroscience, engineering and mathematics. He has helped to convene workshops on topics on epilepsy and is the co-editor of a book titled “Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics”. Dr. Zaveri has received funding from the Epilepsy Foundation of America, NIH, and NSF for projects ranging from the development and testing of neurotechnology to the study of networks in epilepsy.

    More Information 
  • PLEASE NOTE THE SPECIAL DAY AND TIME OF THIS TALK!

     

    MARC TIMME

    Center for Advancing Electronics Dresden (CFAED), Technical University Dresden

    Human Activity Data for Understanding Collective Mobility Dynamics

    We share an increasing amount of data about our activities, including about where we are and where we move at which times when we work, sleep and eat, and with whom we communicate. While the entirety of the personal data raises a number of questions, predict, and potentially influence and control several essential collective dynamical data features of systems fundamental in daily life. In this talk, Timme will provide examples about how mobility and activity data may improve our understanding and design of ride-hailing and ride-sharing mobility systems (1, 2, 3) and at the same time support the prediction and mitigation strategies against natural phenomena such as the COVID-19 pandemics (4, 5).

    1) Anomalous supply shortages from dynamic pricing in on-demand mobility

    2) Topological universality of on-demand ride-sharing efficiency

    3) Either fair or efficient – Hysterisis-induced inefficiencies in on-demand ride-hailing, in prep.

    4) COVID-19 in (South) Africa

    5) Agent-based activity and mobility simulations

     

    Biography

    Marc Timme, Prof. Dr. rer. nat., MA became TU Dresden Strategic Professor and Chair for Network Dynamics in 2017, bridging the cfaed with the Institute for Theoretical Physics. Marc is interested in building mathematical, conceptual, and algorithmic foundations towards an understanding of the collective nonlinear dynamics of networks, applications fields include biological and bio-inspired technical systems, future mobility, network economy & sustainability as well as network inverse problems of inference, design, and control. Enjoys swimming, hiking, philosophy – and science.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Join Keri Godin & Michael Henderson for “Research Misconduct and Brown University/Lifespan Policies”

    OVERVIEW
    This course is designed to fulfill the NIH requirements for training in the Responsible Conduct of Research (RCR), and is coordinated by the Office of Graduate and Postdoctoral Studies (OGPS) in the Division of Biology and Medicine at Brown. The Research Integrity Series for Faculty consists of core [*REQUIRED] and elective modules, with content and discussion topics aimed at more experienced scholars in the biomedical and clinical sciences.

    REQUIREMENTS
    Faculty must complete a minimum of 8 hours of in-person core and elective content in order to receive RCR certification. Faculty who began training in this course last year and have yet to complete their 8 hours may continue with this year’s series. Faculty registered this course may apply up to 1 hr of in-person external RCR training (for example, a departmental workshop, class, or seminar relating to a topic covered in this class). Attendees must provide OGPS with verification of attendance for tracking purposes.

    More Information Advising, Mentorship, Biology, Medicine, Public Health, Education, Teaching, Instruction, Research, Training, Professional Development
  • Have you ever wondered when is the right time or how to close a study? Did you notice a new study closure form on our website, but need some guidance to fill it out? Are you questioning the data management and retention schedule involved with closing a study? This session will answer all these questions and more.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, IRB, ORI, OVPR, Psychology & Cognitive Sciences, Research, Social Sciences, Teaching & Learning, Training, Professional Development
  • Title: “Activation of the Yeast Exocyst Tethering Complex for SNARE Regulation and Membrane Fusion.”

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

     

    References:


    D. M. Lepore et al (2018) Exposing the Elusive Exocyst Structure. Trends in Biochemical Sciences 43: 714-725.


    G. Rossi et al (2020) Exocyst Structural Changes Associated with Activation of Tethering Downstream of Rho/Cdc42 GTPases. Journal of Cell Biology 219 (2) e201904161.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Nov
    4
    Virtual
    11:00am - 12:30pm

    DPHB Grand Rounds

    Join Virtual EventInstructions: dphb

    Mission-Consistent and Life-Saving: Why is Implementation of Evidence-Based Interventions in Health Care so Hard?
    Karen M. Emmons, PhD
    Professor
    Department of Social and Behavioral Sciences
    Harvard T.H. Chan School of Public Health
    Wednesday, November 4, 2020 ◊ 11:00 am - 12:30 pm
    Course Link: https://cme-learning.brown.edu/DPHB-Series-2021
    November 4, 2020
    Join Zoom Meeting: https://brown.zoom.us/j/93428673567
    Meeting ID: 934 2867 3567
    Password: dphb

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences, Social Sciences
  • Nov
    2
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Elisa Felsche (Postdoc University of Michigan)

    Title: Exploring the Evolution and Ontogeny of Imitation and Abstraction: A Hierarchical Bayesian Modelling Approach

    Abstract: Humans have an immense behavioural and cognitive repertoire that has been shaped by cumulative cultural evolution. In my PhD thesis I investigated two cognitive abilities that crucially enlarge the efficiency of skill and knowledge acquisition: 1) the capability for abstraction that enables powerful generalization of information to make wide ranging predictions in new situations and 2) the ability to imitate others which allows the quick and low-risk adoption of new behavioural strategies. Despite decades of accumulating data in both domains, it is still debated to what extent other species share these abilities and how they develop in humans. Solving these persisting disagreements requires an alteration of how data are generated and analysed.

     

    In my dissertation project, I introduced the approach of hierarchical Bayesian modelling to the field of comparative psychology to investigate abstract rule formation and action copying in capuchin monkeys, chimpanzees (only abstract rule formation) and children. In the first two studies participants had to use sampled evidence to infer abstract rules about the item distributions in containers and efficiently guide behaviour in novel test situations. In a third study, we investigated children’s and capuchin monkeys’ ability to integrate causal and social information when copying a goal-directed behaviour. Whereas children’s performance was mostly in line with the predictions of the computational models, showing that they are capable of abstraction and consider causal information when imitating, capuchin monkeys performed in all experiments at chance and chimpanzees showed some understanding of abstract rules.

    Bio: Elisa is a postdoctoral fellow at the University of Michigan also working in collaboration the Kibale Chimpanzee Project. She conducted her PhD work on social learning and abstract rule formation in different primate species at the University of St Andrews. She is interested in the evolution of primate cognition and behavior.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • The Brown Postdoc Council is pleased to announce our second panelist for the Career Conversations series we initiated last month! Going forward, we will be holding this event on the last Friday of the month from 3-4PM (EST) via Zoom. To access these events, we will send out an RSVP prior to the event and once the form is completed, we will send registered attendees the zoom link.

    This month’s Career Conversation series will feature Dr. Chris Chatham on Friday October 30, 2020 from 3-4PM EST. The Career Conversation series is focused on inviting former Brown postdocs to allow for informal Q&A as well as networking opportunities for current Brown postdocs who may be interested in a similar career path. Dr. Chatham completed his postdoc in the Cognitive, Linguistic, and Psychological Sciences Department. He pursued an industry career with Pfizer from 2013-2016 where he designed cognitive, behavioral, and neuroscientific endpoints for early phase clinical trials. He then went on to work for Roche, where he is currently employed as a Group Leader in Clinical Computational Neuroscience. His research focuses on computational cognitive neuroscience and cognitive control to test the impact of novel compounds on cognition and the neural circuits supporting it.

    If you would like to attend this session, please RSVP using the link provided. The Zoom link will only be sent to attendees who complete the form. RSVP’s will be accepted until two days prior to the session, by the end of the day Weds 10/28.

    More Information Biology, Medicine, Public Health, Careers, Recruiting, Internships, Mathematics, Technology, Engineering, Psychology & Cognitive Sciences, Research, Social Sciences, Training, Professional Development
  • Oct
    30
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Speaker:Noah Goodman (Associate Professor Stanford)

    Title: How we come to know

    Abstract: Complex generalizable knowledge is the key to human success, but how do we, individually and as a species, come to have this wealth of useful information? I will first explore a Bayesian form of the classical theory, that explains knowledge via powerful individual learning. I will conclude that this can be only part of the story, and move on to exploring how social reasoning supports teaching that is more efficient than observational learning. I will then consider language as an adaptation for even more efficient teaching, one that crucially providesa means for conveying generalizations.
    Organized by: Vivienne Chi & Jae-Young Son

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Oct
    30
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Oct
    30

    Growing Up in Neuroscience Webinar 2

    “Influences of Age and Culture on Memory”

    Angela Gutchess

    Brandeis University

    “Catecholamines in PET Aging Research”

    Anne Berry

    Brandeis University

    Register to attend the webinar. Zoom details will be sent after registration. 

     

    About Growing Up in Neuroscience Webinar Series

    Any early career researcher interested in aging neuroscience across a wide range of domains – including cognition, affect, memory, and everything in between – is invited to participate in Growing Up in Aging Neuroscience (GRAN). Our objective is to provide a setting in which junior researchers considering or pursuing a career in aging neuroscience can learn about the latest developments (and people behind it). We have brought together world-class researchers across a wide range of career stages (from assistant to full professor) to present their work as well as share their unique experiences relating to how they became investigators (inspired by the Growing Up in Science series), in hopes of encouraging junior researchers considering or pursuing a career in aging neuroscience.

    GRAN2020 will take place on via a Virtual and *Free* Webinar Series in Fall 2020. To receive the zoom invite and passcode for each session, you will need to register for each session. Each session will be 1.5 hours long, with each speaker presenting their research and participating in an ‘Ask Anything’ Q&A session at the end of each webinar.

    Abstracts

    Influences of Age and Culture on Memory (Angela Gutchess): In my talk, I will discuss research my lab has conducted investigating how aging and culture affect memory. I will focus on cross-cultural differences in memory, exploring how culture can act as a lens to shape information processing. This encompasses our work on how culture influences self-referencing effects, the use of categories in memory, and memory for specific visual details, and considers behavioral and neural measures as well as how these cultural differences could be impacted by aging.

    Catecholamines in PET Aging Research (Anne Berry): In my talk, I will discuss how PET imaging can be used in the field of cognitive aging research. I will highlight insights into the imaging of Alzheimer’s disease pathology has offered for interpreting age group differences in fMRI activation and cognitive performance. I will also discuss my recent PET research on age-related changes in the catecholaminergic system, which has focused on the unexpected finding that dopamine synthesis may be elevated in older adults relative to young. This surprising evidence for upregulation of dopamine synthesis in aging has led to a series of studies testing the extent to which neurochemical compensation successfully restores optimal performance.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Join Virtual EventInstructions: 589879

    How glutamate-norepinephrine ‘hot spots’ allow emotional arousal to flexibly enhance processing of whatever has highest priority at that moment

    More Information Biology, Medicine, Public Health, Research
  • Oct
    29
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:Josh McDermott (Associate Professor MIT)

    Title: Neural Network Models of Human Hearing

    Abstract: Just by listening, humans can determine who is talking to them, whether a window in their house is open or shut, or what their child dropped on the floor in the next room. This ability to derive information from sound is enabled by a cascade of neuronal processing stages that transform the sound waveform entering the ear into cortical representations that are presumed to make behaviorally important sound properties explicit. Although much is known about the peripheral processing of sound, the subsequent computations that support behavior are less understood. This talk will describe our recent efforts to develop new models of auditory computation that can account for auditory behavior, illuminate function within auditory cortex, and help people hear better.

    Speaker Bio: Josh McDermott studies sound and hearing in the Department of Brain and Cognitive Sciences at MIT, where he is an Associate Professor and heads the Laboratory for Computational Audition. His research addresses human and machine audition using tools from experimental psychology, engineering, and neuroscience. McDermott obtained a BA in Brain and Cognitive Science from Harvard, an MPhil in Computational Neuroscience from University College London, a PhD in Brain and Cognitive Science from MIT, and postdoctoral training in psychoacoustics at the University of Minnesota and in computational neuroscience at NYU. He is the recipient of a Marshall Scholarship, a James S. McDonnell Foundation Scholar Award, an NSF CAREER Award, a Troland Research Award, and the BCS Award For Excellence in Undergraduate

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: jazlab
    Speaker: Mehrdad Jazayeri
    Title: A distal teacher for Bayesian sensorimotor learning in the frontal cortex
     
    Abstract: A prominent theory in sensorimotor control posits that the brain relies on internal models to efficiently control behavior. A forward model predicts the sensory consequences of outflowing motor commands, while an inverse model selects the right commands to achieve the desired outcome. At the core of this theory is the idea that the forward model serves as a ‘distal teacher’ for the inverse model during learning. This has led to the prediction that the learning of the forward model should precede the learning of the inverse model. Although existing behavioral evidence indirectly supports this idea, a more definite answer requires direct examination of the associated learning process in the brain.

    Previously, we used a time interval reproduction task in monkeys to show how the structure and dynamics of neural activity across populations of neurons in the frontal cortex form a forward model of environmental statistics. We also characterized how the inverse model takes these statistics into account and enables animals to optimize their behavioral responses. However, since animals were already fully trained, we were unable to examine the interactions between the forward and inverse model during learning.

    To address this question, we recorded neural activity in the frontal cortex during a sensorimotor adaptation experiment that involved covertly-changing environmental statistics. When we induced adaptation, we observed rapid changes in neural activity in the frontal cortex which were fully consistent with the update of a forward model. Critically, these neural changes preceded by several minutes the behavioral changes during adaptation. That is, the inverse model responsible for adjusting the motor commands lagged behind the forward model. We further show that these findings can be recapitulated in a computational model explicitly built around the assumption that the forward model acts as a distal teacher for the inverse model. Together, these results provide compelling behavioral and neural evidence for an asymmetry in the learning rates of the forward and inverse model, and firmly establish the notion that prediction precedes control during learning.
    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    28
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Athulya Aravind (Assistant Professor MIT)

    Title: Presupposition and accommodation in child language

    Abstract: Natural language affords us the means to communicate not only new information, but also information that we are already taking for granted, our presuppositions. The proper characterization of presupposition has been at the center of long-standing debate. On an influential view (Stalnaker 1970, 1974, Karttunen 1974), presuppositions reflect formal admittance conditions on utterances: an utterance of a sentence which presupposes p is admitted by a conversational context c only if p is already common ground in c. The theory distinguishes two modes of satisfying the formal requirement: (i) presuppositions may have common ground status prior to utterance, or (ii) they may achieve common ground status post-hoc, via accommodation, an adjustment of the common ground by cooperative listeners so as to meet the requirements of the uttered sentence. While intuitive and general, this two-pronged approach has been criticized on empirical and methodological grounds. There have been a number of alternative theories that reject the notion that presuppositions impose admittance conditions and take some form of accommodation as the basic way in which presuppositions relate to the context.

    This talk compares these two perspectives on presupposition in terms of their implications for language acquisition. In a series of behavioral experiments, we show that young children generate a default expectation that the presuppositions of an asserted sentence have common ground status prior to utterance, even in situations where accommodation is licensed. More tellingly, even when accommodation is the preferred option for adults, children adopt a different conversational stance. The observed two-step developmental trajectory, we argue, lends support to key tenets of the admittance theory, whose empirical validity may otherwise be masked due to the pragmatic sophistication of adult language users.

    Bio: I’m an Assistant Professor of Linguistics at MIT, where I co-direct the Language Acquisition Lab. Prior to this, I was a postdoctoral fellow at the Lab for Developmental Studies at Harvard. I received my PhD in Linguistics from MIT in 2018.

    The primary focus of my research is first language acquisition. In particular, I look at children’s developing understanding of what structures are licit in their language, how those structures are interpreted, and how they may be used in conversation. I also moonlight as a syntactician.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Title: “Asymmetric Stem Cell Division and Germline Immortality.”

     

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Oct
    26
    Virtual
    3:00pm - 4:00pm

    Workshop - Using Matlab on Oscar

    An introduction to using Matlab on Oscar. Topics covered include: working with Matlab interactively on Oscar, using the Matlab GUI, and using Matlab in batch jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Oct
    26
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Arianne Eason (Assistant Professor University of California, Berkeley)

    Title: Bias in the cultural fabric of society: the case of racial segregation and
    intergroup cognition

    Abstract: In the U.S. today, racial segregation remains rampant in neighborhoods,
    schools, and even the workplace. Given the persistent inequity in terms of both race and
    social class in the U.S., my research utilizes perspectives from developmental, social, and
    cultural psychology to examine how features of our social and cultural contexts (e.g.,
    racially segregated neighborhoods and classrooms) influence individuals’ thoughts and
    feelings about intergroup relations, and how these psychological outcomes in turn reify
    existing inequities. In this talk, I will examine how racial segregation shapes perceptions
    of others’ racial attitudes throughout development. In addition, I will discuss how these
    perceptions may be used to justify and ultimately perpetuate the persistence of racial
    segregation. By bringing to light these processes, we can better understand why change is
    more difficult and slow than expected.

     

    Research Description: Over the course of US history, there have been and continue to be vast inequalities in terms of race and social class. My research examines how features of our social and cultural context shape peoples’ attitudes and behavior in ways that work to reify existing inequalities and stagnate change.

    Overall, my work aims to shed light on: 1) how we think about and behave towards diverse others within a complex society riddled with inequality; and 2) how we facilitate positive change. Towards these aims, my research draws broadly on developmental, social, and cultural psychology to examine three processes, which I describe in more detail below:

    1. “Birds of a Feather Flock Together”: Racial Segregation and Same-Race Preferences: One hallmark of U.S. society is the people from various racial and ethnic backgrounds who live within it. Nonetheless, these racial groups live, attend schools, and work in largely segregated locations. Consequently, they experience very little diversity and cross-group interaction in their everyday lives. Thus, I investigate how exposure to segregated spaces can shape people’s expectations about cross-race interactions and their willingness to engage across group lines.
    2. “What is left out is as important as what is there”: Bias towards Native Americans: Instead of investigating how our physical landscape shapes people’s perceptions of diverse others, in this line of work I focus on our representational landscape. That is, what are the available representations in our social world, such as those offered by the media, popular culture, school, and even scientific research. By focusing on the omission of representations of Native Americans, I argue, and demonstrate that people make meaning from the lack of representation, and that this constitutes a form of bias, which ultimately impacts intergroup relations.
    3. “Better to be poor and honest than to be dishonest and rich?”: Perceptions of Resource Possession and Allocations in Infancy: Given the ubiquity of cues to wealth and resource inequality and the evolutionary significance of resource control, in this line of work I explore the development of evaluations based on resource allocations. For example, I ask are infants sensitive to how resources are distributed/acquired; how do infants evaluate fair and unfair resource distributors; how do infants evaluate advantaged and disadvantaged resource recipients/group members? Furthermore, I investigate whether there are individual/cultural differences in these sensitivities and evaluations.
    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences, Social Sciences
  • Oct
    23
    Virtual
    4:00pm - 5:00pm

    MCBGP Data Club: Williams/Gura

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    Yuliya Nemtsova


    (Wharton Lab)


    “Mitochondrial dysfunction in
    a Drosophila model of
    Amyotrophic Lateral Sclerosis.”

    _______________________

    Paul Campbell


    (de Graffenried Lab)


    “Understanding Unique
    Cytokinetic Events in
    Trypanosomatids.”

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Physical & Earth Sciences, Research
  • Oct
    23
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Hwamee Oh (Assistant Professor Brown)

    Title: Visual scene memory in aging and preclinical Alzheimer’s disease

    Abstract: Advanced age is commonly associated with the decline in cognitive performance accompanied by adverse changes in brain structure and function. The impact of aging on cognition and brain structure and function, however, is not universal. Memory and brain networks supporting memory performance are selectively affected by brain aging, and are more vulnerable to the aggregation of beta-amyloid (Aβ) peptides and tau-protein neurofibrillary tangles, pathological features of Alzheimer’s disease (AD). Moreover, AD is known to have a prolonged “preclinical” stage spanning more than a decade during which subtle changes in brain structure and function occur without overt cognitive symptoms, which adds greater variability in studying “normal” aging. I will present the data that show differential changes in neural substrates and cognition in relation to normal aging and Aβ-related pathological aging, with a particular emphasis on visual scene memory, among cognitively normal older adults. I will also discuss the application of these findings in developing better behavioral and neuroimaging measurements that help early detection, prevention, and treatment monitoring of Alzheimer’s disease among preclinical and clinical populations.

    Bio: Assistant Professor
    Department of Psychiatry and Human Behavior

    Affiliated faculty of the Department of Cognitive, Linguistic, and Psychological Sciences and Carney Institute for Brain Science

    Director of Imaging Research, Memory and Aging Program, Butler Hospital

    Ph.D., Biopsychology-Cognitive Neuroscience, SUNY-Stony Brook, 2009
    Postdoctoral Fellow, Helen Wills Neuroscience Institute, UC-Berkeley, 2009-2014

    More Information Academic Calendar, University Dates & Events, Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Oct
    23
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Oct
    22
    Virtual
    5:30pm - 6:30pm

    Cognex info session

    Cognex is a global leader in the exciting and growing field of machine vision, while maintaining the fast-paced, creative environment of a startup.

    Please join CEO and Brown alum Robert Willett ’89 for a virtual information session. The work hard, play hard, move fast culture of Cognex recognizes its employees for their innovation, perseverance and hard work in a fun, rewarding and quirky environment. 

    Register here and the zoom link will be shared with you: http://brown.edu/go/CognexInfoSession

    Cognex is a manufacturer of machine vision systems, software and sensors used in automated manufacturing to inspect and identify parts, detect defects, verify product assembly, and guide assembly robots.
    More Information 
  • Oct
    22
    Virtual
    1:00pm - 2:00pm

    Brown Biology of Aging Seminar

    Join Virtual EventInstructions: 8Qf85M

    Stem cells, diet, and physiology.

    Daniela Drummond-Barbosa, Ph.D

    Professor

    Department of Biochemistry and Molecular Biology

    Bloomberg School of Public Health

    Johns Hopkins University

     

    Zoom info:

    Topic: Brown Biology of Aging Seminar
    Time: Oct 22, 2020 01:00 PM Eastern Time (US and Canada)

    Join Zoom Meeting
    https://us02web.zoom.us/j/81055935240?pwd=ZE5kVExnV0UwWG1lN2lZdlc2Qkp5dz09

    Meeting ID: 810 5593 5240
    Passcode: 8Qf85M

    More Information 
  • Oct
    22
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Bijan Pesaran (Professor New York University)

    Title: The channel modulation hypothesis and coordinated visual behavior
    Abstract: Multiregional communication is important to understanding the brain mechanisms supporting complex behaviors. Work in animals and human subjects shows that multiregional communication plays significant roles in cognitive function, yet the underlying neural mechanisms remain unclear. In my talk, I will use the concept of modulation of a communication channel to define and constrain what we mean by multiregional communication. I will then present new behavioral and neurophysiological evidence for channel modulation in monkeys performing coordinated visual behaviors as well as based on causal manipulations of the frontal-parietal cortices. The results demonstrate that coherent neural dynamics in the beta-frequency (10-40 Hz) may play a general role in modulating communication between brain regions to support flexible behavior.

    Bio: Bijan Pesaran is interested in understanding large-scale circuits in the brain and how to engineer novel brain-based therapies. Bijan completed his undergraduate degree in Physics at the University of Cambridge, UK. After a year in the Theoretical Physics department at Bell Labs Murray Hill, he went on to earn his PhD in Physics at the California Institute of Technology. He then made the switch to neuroscience as a postdoctoral fellow in Biology at Caltech. Bijan has been on the faculty at New York University since 2006. He is currently a Professor of Neural Science in the Center for Neural Science. In 2013, he was a CV Starr Visiting Scholar at the Princeton Neuroscience Institute at Princeton University. Among other honors and awards, Bijan has received a Burroughs-Wellcome Career Award in the Biomedical Sciences, a Sloan Research Fellowship, a McKnight Scholar Award, the National Science Foundation CAREER Award and is a member of the Simons Collaboration for the Global Brain.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: 589879
    More Information Biology, Medicine, Public Health, Research
  • Oct
    22

    Center for Biomedical Engineering Seminar

    Title: Engineering human tissues for medical impact

    Abstract: The classical paradigm of tissue engineering involves the integrated use of human stem cells, biomaterial scaffolds (providing a structural and logistic template for tissue formation) and bioreactors (providing environmental control, dynamic sequences of molecular and physical signaling, and insights into the structure and function of the forming tissues). This “biomimetic” approach results in an increasingly successful representation of the environmental milieu of tissue development, regeneration and disease. Living human tissues are now being engineered from various types of human stem cells, and tailored to the patient and the condition being treated. A reverse paradigm is now emerging with the development of the “organs on a chip” platforms for modeling of integrated human physiology, using micro-tissues that are derived from human iPS cells and functionally connected by vascular perfusion. In all cases, the critical questions relate to our ability to recapitulate the cell niches, using bioengineering tools. To illustrate the state of the art in the field and reflect on the current challenges and opportunities, this talk will discuss: (i) anatomically correct bone regeneration, (ii) bioengineering of the lung, (iii) heart repair by a cell-free therapy, and (iv) the use of “organs on a chip” for patient-specific studies of human physiology, injury, healing and disease.

    Bio: Gordana Vunjak-Novakovic is University Professor, the highest academic rank at Columbia University and the first engineer in the history of Columbia to receive this highest distinction. She is also the Mikati Foundation Professor of Biomedical Engineering and Medical Sciences, and serving on faculty in the Irving Comprehensive Cancer Center, College of Dental Medicine, and Center for Human Development. She directs the Laboratory for Stem Cells and Tissue Engineering and the national Tissue Engineering Resource Center. The focus of her research is on engineering functional human tissues for regenerative medicine and studies of development and disease. She is an elected member of the Academia Europaea, Serbian Academy of Arts and Sciences, the National Academy of Engineering, the National Academy of Medicine, the National Academy of Inventors, and the American Academy of Arts and Sciences.

    More Information 
  • JESSICA HEKMAN

    Computational Biologist, Broad Institute

    Canine Behavioral Genomics: tackling complex traits with citizen science

    Dogs have proven to be excellent models for diseases such as cancer. What about behavioral issues such as anxiety and aggression? Karlsson Lab at the Broad Institute of MIT and Harvard is taking a citizen science approach to identification of genetic variants underlying behavioral differences in dogs. Pet owners answer behavioral surveys about their dogs on a website, darwinsark.org, and submit saliva swabs for sequencing. Samples are sequenced using low-pass coverage followed by imputation to generate about 10 million variants, which are used with behavioral survey data in GWAS to identify associations between variants and traits. Current work in Karlsson Lab focuses on adapting existing tools to the new Canis familiaris reference sequence; developing a targeted sequencing panel to increase sequencing coverage over areas of the genome of particular interest; and building an imputation panel for structural variants, to allow future GWAS to include variants such as SINEs or copy number variants in addition to SNPs.

     

    Biography

    Jessica Hekman worked as a computer programmer for 12 years until deciding to go back to school to study canine behavior. She received her DVM/MS degrees at Tufts Cummings School of Veterinary Medicine in 2012. Her MS research, in Comparative Biomedical Sciences, used behavioral observation and salivary cortisol in identification and description of stress behaviors in healthy hospitalized dogs. She completed a shelter medicine specialty veterinary internship at the Maddie’s Shelter Medicine Program at the University of Florida in 2013. She completed her PhD at the University of Illinois at Urbana-Champaign in 2017, where she studied transcriptional differences in regions of the brain involved in the hormonal stress response between tame and aggressive foxes. She worked as a postdoctoral associate in Karlsson Laboratory at the Broad Institute of MIT and Harvard, studying canine behavioral genomics using a citizen science approach, and is now a Computational Biologist on the same team.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Oct
    21
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Rachel Elizabeth Weissler (PhD student, UMich Ann Arbor)

    Title: Depending on Speaker Identity: Sociophonetic Evidence & EEG Correlates Reflect Linguistic Expectations On Behalf of Speaker & Listener

    Abstract: In order to understand how people use their knowledge of Grammar with respect to race and gender, I engage with language variation and social cognition to better understand how people use and process African American English (AAE). In this talk, I will discuss sociolinguistic knowledge in two different ways; the first with a focus on how people use their linguistic knowledge in speech production, using a sociophonetic case study of media personality Omarosa Manigault and second, how we use our linguistic knowledge to modulate expectations during processing, which I’ve examined through EEG correlates. The first study examines the social meanings of aspirated and unreleased [t], as well as prosodic high tonal events, transcribed as H* and L+H* in the Tones and Break Indices (ToBI) conventions. The data consists of interviews of Omarosa as well as impersonations of Omarosa from Saturday Night live, all of which give evidence of the linguistic salience in the construction and mediatized circulation of Omarosa’s personae (Mendoza-Denton 2011; Pratt & D’Onofrio 2017; Slobe 2018). Results indicate that while Omarosa & her impersonators’ calibrated use of these features indexes intelligence, emphasis, and prominence in discourse, but also anger and annoyance; by using this feature prominently, Omarosa is perpetuating another type of public personae: The Angry Black Woman. Known predominantly as,“The Woman America Loves to Hate,” Omarosa reifies mainstream white America’s perceptions of the Angry Black Woman, while attempting to portray herself as upwardly-mobile and middle-class. This sheds light on how features can index multiple social meanings in tandem. The second study looks at expectation modulation during cognitive processing, by examining listeners’s neurological responses to speech from a Black, bidialectal individual. Bountiful neurolinguistics evidence shows that people invoke prediction during sentence processing through ERPs (Kutas et al 2014), and that these predictions are conditioned by the identity of the speaker, as early as 200-300 milliseconds after the beginning of a word (van Berkum et al 2008). However, ideologies about standard language in the U.S. often posit Standardized American English (SdAE) as a morally superior variety (Hill 2008), and ultimately perpetuates minoritized language discrimination. The grammatical feature auxiliary “be” was examined (e.g. “My brother, working today” versus “My brother, working today”). Listeners heard auxiliary present, absent, and also sentences with an ungrammatical feature across varieties (e.g. “My brother, he’ll working today”). EEG Results indicated a clear difference in how listeners are processing SdAE and AAE produced by the diglossic speaker, which indicates that people can discern language varieties even intralinguistically. Overall, these two radically different studies show us that people use their sociolinguistic knowledge, consciously or not, to make decisions about production and perception, which informs what the human language faculty is capable of recognizing and processing.

    Bio: Hi, I’m Rachel Elizabeth, and I am a Ph.D. Candidate in Linguistics at the University of Michigan, Ann Arbor (GO BLUE!). My foray into linguistics started at my undergraduate institution, Bryn Mawr College (ANASSA KATA!). My research home is at the intersection of neuro and sociolinguistics. Given that the linguistic brain relates message to speaker within a few hundred milliseconds, I am particularly interested in how varied linguistic knowledge modulates processing of standardized and minoritized American Englishes, specifically African American English. Working across subfields allows me to investigate these important raciolinguistic questions. I engage in public linguistics efforts through my role as Production Assistant for A Way With Words Radio Show, which focuses on language examined through family, history, and culture. Additionally, I am passionate about teaching, and work to create spaces that are conducive to learning through an equity and justice approach. Mentoring is of great importance to me, as I find community support essential for understanding the unwritten rules of navigating academia. Travel is one of my greatest joys in life, and has been one of my greatest teachers.

     

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Title: “Linking Cancer Metabolism to Neurodegeneration.”

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Why does “clean code” matter? Join us for this informative session with Google engineers to gain a better understanding of what clean code looks like at Google as well as methods for implementing these best practices throughout your internship and beyond.

    More Information computer science, ipp
  • For our October seminar, we are very excited to welcome Dr. Ashley Ingiosi, Ph.D. from the Elson Floyd College of Medicine, Washington State University, who will be presenting her most recent work on the neurophysiology of sleep.

    Dr. Ingiosi’s presentation is entitled: “Twinkle, twinkle little star: defining a role for astrocytes in sleep and sleep regulation”.

    Abstract: Accumulating evidence shows that non-neuronal cells (e.g. glia) may play more direct roles in neurophysiology, behavior, and disease than previously thought. My research seeks to understand the role of glial cells called astrocytes in sleep. I use in vivo calcium imaging of astrocytes paired with electrophysiological measures of vigilance states in genetic mouse models to uncover astroglial contributions to sleep regulation.

    The PSRIG seminar series has been hosted by Dr. Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    This year the series will be held virtually and we are thrilled to involve a diverse lineup of speakers from various institutions both nationally and internationally, and to open this seminar to a wide audience! Seminars will be held at 12pm on the 3rd Tuesday of each month. If you would like to be added to the PSRIG mailing list, please email Patricia Wong at [email protected].

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Oct
    19
    Virtual
    3:00pm - 4:00pm

    Workshop - File Transfer Basics

    An overview of methods for moving files onto and off of Oscar. Topics covered include: Linux command line tools for file transfer (scp, rsync, sftp), GUI-based file transfer applications, mounting Oscar’s filesystem using CIFS, and using Globus on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Oct
    19
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Arber Tasimi (Assistant Professor Emory University)

    Title: Grappling with Goodness

    Abstract: How do people weigh competing considerations when deciding how to act? An important everyday arena for this competition is moral decision-making, which involves the tradeoff between personal benefits and the welfare of others. In this talk, I’ll consider how new insights onto moral decision-making can come from clarifying its micro-temporal (seconds to minutes) and macro-temporal (months to years) dynamics. I’ll share empirical and theoretical work that examines moral decision-making from the earliest years and even months of life that points to promising directions for future research aimed at a deeper understanding of how and why moral decision-making varies across people.

    Bio:  I’m an Assistant Professor of Psychology at Emory University where I direct the Morality and Development (“MAD”) Lab.
    As a developmental psychologist with broad interests in cognitive psychology, social psychology, and affective science, I study moral decision-making and how it unfolds over real time and developmental time. Take a look at my published papers to get a feel for the kinds of questions I’m interested in and hope to pursue in my lab.
    Before coming to Emory, I received my B.A. in Psychology from the University of Pennsylvania and my Ph.D. in Psychology from Yale University. I then completed a postdoctoral fellowship at Stanford University. I’ve also received extensive training at my parents’ restaurant.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience
  • Oct
    16
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Sarah Gaither (Assistant Professor Duke)

    Title: Multiple Identities = Multiple Sources of Threat & Belonging

    Abstract: We all have multiple identities—race, gender, age, sexual orientation, occupation, etc. However, psychology research has traditionally focused on the effects stemming from one identity (i.e., race OR gender), rather than trying to measure how belonging to multiple groups may actually shift our behavior or change how we react when under threat. With today’s society becoming increasingly diverse, it is important for research to examine how exposure to and interactions with diversity affects the various perspectives and experiences we have. In my talk, I will explore: 1) how belonging to multiple groups shapes how we respond to identity-relevant threats; 2) how a multifaceted sense of self may boost flexible thinking; and 3) how interactions with diverse others such as college roommates can shift our definitions of ingroup. In sum, this talk will push our existing notions of identity research to be more inclusive of multiple identification and the variation that exists across diverse settings.

    Bio: Dr. Sarah Gaither is an Assistant Professor in the Department of Psychology & Neuroscience and a faculty affiliate at the Cook Center on Social Equity at Duke University. Prior to Duke, she was a Provost’s Postdoctoral Scholar in the Psychology Department and Fellow at the Center for the Study of Race, Politics and Culture at the University of Chicago after earning her Ph.D. and M.S. in Social Psychology from Tufts University and her B.A. in Social Welfare from U.C Berkeley.

    Her research focuses broadly on how a person’s social identities and experiences across the lifespan motivate their social perceptions and behaviors in diverse settings. More specifically, she studies how contact with diverse others shapes social interactions, how having multiple racial or multiple social identities affects different types of social behavior and categorizations of others, and what contexts shape the development of racial perceptions and biases from childhood through adulthood. Growing up as a biracial Black/White woman is what has fueled her research path. CV

    Dr. Gaither is considering graduate students who will enter Fall 2021 (applying Fall 2020)

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences, Social Sciences
  • Oct
    16
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Oct
    15
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Rebecca Spencer (Professor University of Massachusetts Amherst)

    Title: Sleep’s role in motor learning: from development to aging

    Abstract: There is now extensive evidence that motor learning is consolidated during sleep. My talk will discuss how this process is influenced by developmental and aging-related changes in both learning and sleep. I will contrast these lifespan changes with changes in the declarative (non-motor) learning domain. Emphasis will be on underlying mechanisms for sleep’s role as well as lifespan changes.

    Bio: Dr. Rebecca Spencer graduated from the Purdue University Neuroscience graduate program, concentrating in neural control of movement. After graduating from Purdue with a PhD in neuroscience in 2002, she went to UC Berkeley where she was a postdoctoral fellow and research scientist in the Helen Wills Neuroscience Institute until 2008. Her postdoctoral work on neural control of motor sequence learning was funded by an NIH NRSA. Subsequently, she was awarded an NIH Pathways to Independence Award (K99/R00) for studies on the age-related changes in sleep-dependent consolidation of motor learning.

    In 2008, Rebecca joined the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst as an assistant professor and was promoted to associate professor in 2013. Her current work is broadly on the functions of sleep, including topics such as the function of naps for preschool children and the role of age-related changes in sleep on age-related cognitive decline. For this work, she holds two NIH R01 awards and has over 60 publications.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: 302939

    “Spying on endocannabinoid dynamics in vivo by constructing
    genetically-encoded GRAB sensors”

    More Information Research
  • This session focuses on how medical educators can identify and reduce bias in learner evaluations and letters of recommendation. Participants will review current data on the topic and discuss the implications for learners as the impact of bias may get “amplified” over time. Specific strategies for identifying and eliminating subtle (and not so subtle) problematic language, and creating equity across learners, will be discussed.

    This session will demonstrate the application of learning principles and will focus on the Core areas of Evaluation and Effective Feedback & Inclusive Teaching.

    5:30pm Workshop

    REGISTER

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Training, Professional Development
  •  

    STEVEN STROGATZ

    Jacob Gould Schurman Professor of Applied Mathematics, Cornell University

    Networks of oscillators that synchronize themselves

    Populations of coupled oscillators are pervasive in the natural world, from swarms of rhythmically flashing fireflies to groups of pacemaker cells in the heart. Some systems of oscillators have the amazing ability to synchronize themselves, such that all the oscillators end up firing in unison, no matter how disorganized they were at the start. In this (hopefully) entertaining Zoom talk, Prof. Strogatz will discuss the simplest mathematical model of a self-synchronizing system, the so-called Kuramoto model, and discuss how it behaves on different kinds of networks. Using techniques from nonlinear dynamics, numerical linear algebra, and computational algebraic geometry, we will discuss new bounds, conjectures, and open problems about the densest networks that do *not* always synchronize and the sparsest ones that do. This is joint work with Alex Townsend and Mike Stillman.

    Biography

    Steven Strogatz is an applied mathematician who works in the areas of nonlinear dynamics and complex systems, often on topics inspired by the curiosities of everyday life. He loves finding math in places where you’d least expect it—and then using it to illuminate life’s mysteries, big and small. For example: Why is it so hard to fall asleep a few hours before your regular bedtime? When you start chatting with a stranger on a plane, why is it so common to find that you have a mutual acquaintance? What can twisting a rubber band teach us about our DNA? An award-winning researcher, teacher, and communicator, Strogatz enjoys sharing the beauty of math through his books, essays, public lectures, and radio and television appearances.

    Data Wednesdays

    The Data Science Initiative joins the Center for Computational and Molecular Biology (CCMB) every Wednesday afternoon, 4 – 5 pm during the academic year to present lecturers in various mathematical and statistical fields worldwide, as well as local researchers on Brown’s campus. The aim is to provide students, staff, faculty, and visitors with an introduction to current research topics in the fields of data science, mathematics, statistics, and computer science.

    More Information Mathematics, Technology, Engineering, Physical & Earth Sciences
  • Oct
    14
    Join Virtual EventInstructions: Zoom link will be sent upon RSVP.

    Please join us on Wednesday, October 14th for a presentation by Jacqueline Nesi, PhD: “Adolescent Social Media Use and Mental Health.” Social media sites like Instagram and Snapchat have become a central feature of adolescents’ lives. However, researchers have only recently begun to investigate the role of social media use in adolescents’ mental health symptoms. In this presentation, Dr. Nesi will discuss the ways in which youths’ peer relationships are being shaped by digital tools, and potential implications of these changes for youth depression and suicide risk. She will present recent findings from her AFSP-funded research, which uses qualitative interviews, self-report measures, and analysis of social media data to identify online social factors that create risk for, or protect against, suicidal thoughts and behavior. She will also briefly discuss future directions for her work on adolescent social media use and mental health.

    *Location: Zoom meeting

    *Time: Wed. October 14th @ 1:00-2:00 EST

    ***RSVP using Eventbrite, and you will receive a confirmation email with the Zoom link***

    Jacqueline (Jackie) Nesi, PhD is an Assistant Professor in the Department of Psychiatry and Human Behavior and a clinical psychologist. Dr. Nesi’s research examines the role of social media in adolescents’ peer relationships and mental health, with a focus on depression and suicidal thoughts and behavior. Her work has been funded by the National Science Foundation (NSF) and the American Foundation for Suicide Prevention (AFSP), and she is currently funded by a K23 award from the National Institute of Mental Health (NIMH). She has published in numerous peer-reviewed journals, including Journal of Adolescent Health and Journal of the American Academy of Child and Adolescent Psychiatry, and her work has been featured in popular media outlets such as the Wall Street Journal and Teen Vogue. She has also served as an invited speaker for the Society for Research on Adolescence (SRA) and National Academies of Sciences, Engineering, and Medicine. Dr. Nesi is passionate about understanding how and for whom social media use influences adolescents’ mental health, so as to identify and intervene with youth most at risk.

    Contact us at [email protected] or [email protected] with any questions. We hope to see you there!

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research, Social Sciences
  • Oct
    14
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series. 

    Speaker: Emily Morgan (Assistant Professor UC Davis)

    Title: Psycholinguistics of Programming Languages

    Abstract: Despite the fact that programming “languages” share a lot of terminology with natural language, almost nothing is known about how similar the acquisition and processing of programming skills is to the acquisition and processing of natural language. In this talk, I will provide some first steps towards answering this question, focusing on predictability effects in code. In natural language, comprehenders are robustly sensitive to the predictability of words and syntactic structures. Using explicit preference judgements and code comprehension tasks, I will demonstrate that programmers are similarly sensitive to the predictability of tokens of code. I will present my long-term vision for a cognitive science of programming, and how I believe this provides a useful comparison case to better understand human natural language processing.

    Bio: To know a language is to use one’s past linguistic experience to form expectations about future linguistic experience. This process is mediated by both speakers’ stored representations of their previous experience, and the online procedures used to process new stimuli in light of those representations. My research thus asks what the form of these representations is, and how the language processing system integrates these stored representations with incoming stimuli to form online expectations during language comprehension. For example, when one encounters a highly frequent phrase such as “bread and butter”, is this phrase represented and processed holistically as a single unit, or compositionally as a conjunction of nouns? Is the form of this representation influenced by the frequency of the or its frozenness in a given order (compared to a more flexible expression like “boys and girls”/”girls and boys”)? To answer these questions, I combine experimental psycho- and neurolinguistic methods, such as eye-tracking and ERPs, with probabilistic computational modeling.

    I also ask comparable questions in the domain of music: how is our previous musical experience represented and processed to form expectations for future experience? For example, to what extent does processing of melodies rely upon language-like hierarchical structure versus surface statistics (e.g. note to note transition probabilities)?

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Title: “Structural assembly and reaction chemistry of DNA replication.”

    This event will require a password. If you are not part of the MCB Graduate Program and would like to participate, please contact the program coordinator for the password.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Oct
    14
    Virtual
    11:00am - 12:00pm

    IRB Basics

    Don’t let the IRB submission and review process overwhelm you! Come learn about Brown’s human subject research policies, forms and procedures. Demystify the submission and review process with tips to a speedy approval and avoid frustrating delays. 
    RSVP required | Zoom link sent upon registration

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Humanities, IRB, ORI, Psychology & Cognitive Sciences, Research, Social Sciences, Training, Professional Development
  • Oct
    14
    Virtual
    11:00am - 12:00pm

    DPHB Child & Adolescent Grand Rounds

    Join Virtual EventInstructions: https://brown.zoom.us/j/91599079653

    Child & Adolescent Psychiatry Grand Rounds*

    Pediatric Consultation Liaison: A Field in Development

    Maryland Pao, M.D.

    Clinical & Deputy Scientific Director

    National Institute of Mental Health

    Wednesday, October 14, 2020◊ 11:00 am - 12:00 pm

    More Information 
  • By invitation only!

    The Office of Women in Medicine & Science (OWIMS) will be discussing Dare to Lead: Brave Work. Tough Conversations. Whole Hearts by Brené Brown, PhD, LMSW at its October book club. 

    Registration is required*All registrants will receive an e-confirmation with a “Zoom” link and password to connect to the discussion*

     

    More Information Biology, Medicine, Public Health
  • Join the Carney Institute for Brain Science for a conversation focused on neurotechnology featuring:

    • Leigh Hochberg, professor of engineering at Brown University, director of the Center for Neurotechnology and Neurorecovery at Massachusetts General Hospital, and director of the VA RR&D Center for Neurorestoration and Neurotechnology
    • David Borton, assistant professor of engineering at Brown and research biomedical engineer with the VA RR&D Center for Neurorestoration and Neurotechnology

    This event will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Oct
    9
    Virtual
    6:00pm

    [email protected]

    Full Stack at Brown’s First Virtual Hackathon! Register now at www.hackathome.org

    This event runs from Friday, October 9, 2020 at 6:00 p.m until Monday, October 12, 2020 at 1:00 p.m.

    Host: [email protected]

    More Information 
  • Oct
    9
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series. 

    Speaker:  Maureen Ritchey (Assistant Professor Boston College)

    Title: Making memories: Brain networks supporting episodic binding and reconstruction

    Abstract: When we remember an event, we weave together its specific features into a coherent episode. In effect, we rebuild the world in our minds. How does the human brain accomplish this feat? In this talk, I will discuss the hippocampal and cortical network interactions that transform experience into memory. This transformation process begins at encoding, as feature representations are bound through the hippocampus and embedded within the spatiotemporal structure of events. As memories are retrieved, cortico-hippocampal networks interact to reconstruct these features into a richly detailed experience. I will highlight recent work suggesting that, within the posterior medial cortico-hippocampal network, there are distinct subnetwork alliances that support different aspects of episodic representations. Finally, I will discuss ongoing efforts to modulate the reconstruction of emotional memories, leveraging what we know about making memories to make them feel better.

    Bio: I joined Boston College as an Assistant Professor of Psychology in 2016. I completed my Ph.D. in Psychology & Neuroscience at Duke University, where I was a student in the interdisciplinary cognitive neuroscience training program. After then, I trained as a postdoctoral scholar at the Center for Neuroscience at the University of California, Davis. My research has been funded by the Brain and Behavior Research Foundation and the National Institute of Mental Health, including the Pathway to Independence Award (K99/R00). At Boston College, I teach courses related to cognitive neuroscience, research methods, and everyone’s favorite brain structure, the hippocampus.

    Outside of the lab, I enjoy hiking and camping, adventures in baking, and Boston summers.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Oct
    9
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Oct
    8
    Virtual
    2:00pm - 3:00pm

    DeepLabCut+ Users Group Meeting

    Join Virtual EventInstructions: 923854


    The Brown DeepLabCut+ Users Group, hosted by the Carney’s Center for Computational Brain Science, will hold its inaugural meeting Thursday, October 8, 2-3 p.m.

    The goal of the user group is to provide a local community for peer support and information sharing, and to guide future decisions on local resources, such as support for running DLC on Oscar.

    In this first meeting, moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience, and Maria Daigle, research assistant in the Department of Neuroscience, we will discuss the group’s organization, and invite all attendees to share any issues they are facing using DLC in their research, and/or troubleshooting advice. Going forward we expect to collect and share technical documentation, and provide a forum to match users needing help with local expertise.

    Please respond prior to the meeting to this short questionnaire.

    More Information Biology, Medicine, Public Health, CCBS, CTN, Psychology & Cognitive Sciences, Research
  • Oct
    8
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.   

    Speaker: Joshua Liddy (Brown Postdoc at Song Lab)   

    Title: Exploring mechanisms of postural instability using novel balance technology.   

    Abstract: Falls are prevalent across the lifespan and often result in injury and functional impairment. One of the primary factors contributing to falls is impaired postural control. Postural control is altered due to aging, neuromuscular disease, and injury, which often leads to the development of maladaptive movement strategies and the inability to perform activities of daily living. Balance training interventions to reduce fall-risk and improve mobility emphasize postural stabilization while standing on passive or active unstable rotational platforms (i.e., balance boards). In this talk, I will present some of my graduate work that aimed to develop active balance technology capable of targeting multiple dimensions of balance. A simple mathematical model of human standing and behavioral studies were used to identify distinct mechanisms of postural instability. This led to the development of a mathematical model of a human coupled to a rotational balance platform to examine what device parameters are linked to postural instability. Based on this research, we constructed a tunable balance platform and conducted several experimental studies in young and older adults. Future directions regarding the use of active balance board technology in motor rehabilitation will be also discussed.

    Bio: Josh Liddy is a Postdoctoral Research Associate in the CLPS department at Brown. His background is in human motor control including mechanisms of postural stability, locomotor control, and the integration of postural and manual behaviors, such as reaching and tool use. He is interested in understanding how interactions between cognition (e.g., attention) and action (e.g., reaching, standing, and walking) facilitate goal-directed behavior across the lifespan.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Passcode: 099796

    Title:  Pushing the limits of magnetoencephalography (MEG) with machine learning

    More Information Biology, Medicine, Public Health, Research
  • Speaker: Arif Hamid

    Title:  Striatal dopamine waves as a mechanism for spatiotemporal credit assignment

    Abstract: Significant evidence supports the view that dopamine shapes reward-learning by encoding prediction errors. However, it is unknown whether dopamine decision-signals are tailored to the functional specialization of target regions. In this talk, I will report on a novel set of wave-like spatiotemporal activation patterns in dopamine axons and release across the dorsal striatum that switch between different activational motifs. At reward delivery, waves are altered by task demands, propagating from dorsomedial to dorsolateral striatum during instrumental contingencies, and in the opponent direction when rewards are independent of animal behavior. I will demonstrate that our results are consistent with a computational architecture in which striatal dopamine signals are sculpted by inference about agency, and provide evidence for a spatiotemporally “vectorized” role of dopamine in credit assignment directed toward specialized “expert” striatal subregions.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Oct
    7

    Are you an Undergraduate student or advisor? If so, this workshop is for you. Learn when and how to submit an Undergraduate Project Application. You will learn everything from determining if your project needs review to examples of a good application. Please come with any questions you may have!

    RSVP required | Zoom link sent upon registration

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, IRB, ORI, OVPR, Psychology & Cognitive Sciences, Research, Social Sciences, Teaching & Learning, Training, Professional Development
  • Oct
    7
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series. 

    Speaker: Christina Schonberg (Postdoc, UW Madison)

    Title: Language as an agent of cognitive change

    Abstract: Early language experiences have far-reaching outcomes, including the development of higher-order cognitive processes, academic achievement, and even lifelong income and health. However, the mechanisms underlying these effects of language remain unclear. In this talk, I propose specific pathways through which language—such as language context and language knowledge—influences the development of higher-order cognition, including categorization, cognitive flexibility, and induction. In addition, I will discuss future directions for my work, including planned investigations of how children actively use language to support their thinking. By conceptualizing language in different ways and investigating how aspects such as context, knowledge, and use play complementary roles in shaping thinking and learning, these studies provide an integrative approach to understanding how language affects cognition. 

    Bio: Christina Schonberg is a postdoctoral research associate at UW-Madison. They earned their PhD in Developmental Psychology from UCLA and BA in Psychology from Northwestern University. Christina’s research examines specific mechanisms through which language can act as an agent of cognitive change. For example, their current work investigates how variability in language knowledge and exposure (e.g., in monolinguals and bilinguals) influences higher-order cognitive processes such as categorization, cognitive flexibility, and induction.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Oct
    7
    Virtual
    11:00am - 12:30pm

    DPHB October Grand Rounds

    Join Virtual EventInstructions: https://brown.zoom.us/j/93969321073

    Academic Grand Rounds*

    The Annual Dr. Henrietta Leonard Visiting Professor Academic Grand Rounds*

     Emotion Dysregulation: Coming Together to Treat the Sickest Kids…

    Gabrielle A. Carlson, M.D.

    Professor of Psychiatry and Pediatrics

    Renaissance School of Medicine at Stony Brook University

    Wednesday, October 7, 2020◊ 11:00 am - 12:30 pm

    More Information 
  • Morphophysiological and Microcircuit Development of Hippocampal Neurons in Type I Lissencephaly

    More Information Biology, Medicine, Public Health, Research
  • Join Virtual EventInstructions: 299853

    Neuroscience Graduate Student seminar

    More Information Biology, Medicine, Public Health, Research
  • Oct
    5
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Communicating via text messages, audio-, or video-calls is a part of our
    modern society. As a next evolution step, we already see early
    implementations of virtual 3D telepresence systems and personalized
    avatars. Capturing natural motions and expressions as well as the
    photorealistic reproduction of images under free views are challenging.
    With the rise of deep learning methods and, especially, neural
    rendering, we see immense progress to succeed in these challenges. In
    this talk, I will give an overview of my previous and ongoing research
    about image synthesis of humans, the underlying representation of
    appearance, geometry, and motion to allow for explicit and implicit
    control over the synthesis process. Specifically, I will talk about my
    work on facial reenactment and neural rendering.

    Justus Thies is a Postdoctoral Researcher in the Visual Computing Group
    at the Technical University of Munich (TUM). He received his PhD from
    the University of Erlangen-Nuremberg in 2017 for his research on
    marker-less motion capturing of facial performances and its
    applications. More recently, he focuses on neural image synthesis
    techniques that allow for video editing and creation. Thus, his work
    combines methods from the Computer Vision, the Machine Learning, and the
    Computer Graphics field.
    Host: Professor Daniel Ritchie
    More Information 
  • Oct
    5
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    Michael S. Goodman ’74 Memorial Seminar Series. 

    Speaker: Stephanie Denison (Associate Professor University of Waterloo)

    Title: Information use in social-cognitive reasoning

    Abstract: Recent work in my lab aims to understand the ways in which young children use numerical information, combined with social information and learning mechanisms to inform their judgments and decision making. A large body of work has established that infants and young children (and non-human animals) use proportional or other numerical information to make basic probabilistic inferences (e.g., Denison & Xu, 2014; Rakoczy et al., 2014; Téglás et al., 2007; Xu & Garcia, 2008). Beyond this, young children appear to use this information about numbers, base-rates, and sampling to make other inferences, including social inferences (e.g., Kushnir et al., 2013). But much like adults, children need to balance this numerical information with other sources of information when reasoning and making predictions about other people’s minds and behavior. I’ll review some recent work that suggests that between the ages of 4 and 7, children’s ability to integrate and use numerical and social information in their inferences undergoes significant development, sometimes (seemingly) for the better and sometimes (seemingly) for the worse.

    Research Interests:   My research investigates cognitive development in infancy and early childhood. I am currently working on three specific topics:

    1. Probabilistic inference in infancy and early childhood. This line of research explores probabilistic inference using multiple methods, across multiple age groups. One project explores the origins of our ability to make inferences between samples and populations in very young infants. A second set of projects in this line investigates 8- and 11-month-old infants’ abilities to integrate domain knowledge in probabilistic inference. A third set of projects looks at how young infants can use probabilistic inferences to guide their own actions. In this line of research, we use an action measure to see if infants can make predictions using probability information. This work is in collaboration with: Fei Xu and Kathie Pham.

    2. The development of preference attribution in infancy. This project investigates the known developmental shift that occurs between 14- and 18-months of age regarding the knowledge of others’ preferences. We are developing a training study that investigates the kinds of experiences children might require in order to make this transition. This work is in collaboration with: Chris Lucas and Alison Gopnik.

    3. Computational approaches to cognitive development. In this line of research, we are studying causal inference in young children. We are examining the strategies that children use when testing hypotheses, and we have found that children’s hypothesis selection approximates Bayesian inference and, in some cases, is in line with a win-stay, lose-shift algorithm. This work is in collaboration with: Liz Bonawitz, Tom Griffiths and Alison Gopnik.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Psychology & Cognitive Sciences
  • Oct
    2
    Virtual
    2:00pm - 3:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series. 

    Speaker: Danny Ullman (PhD student at Brown)  

    Title: Human-Robot Trust: A Multi-Dimensional Approach   

    Abstract: Trust is a cornerstone of sustainable relationships. As robots become increasingly present in everyday life, including in social and socially assistive capacities, it is critical to examine humans’ trust in robots. Research on trust in human-human interaction has typically focused on notions of integrity and vulnerability, whereas research on trust in human-machine interaction has typically focused on notions of reliability and competence; I propose that human-robot trust is likely to contain all of these aspects. I will present a systematic exploration of people’s conceptualization and scientific measurement of human trust in robots. This research has resulted in a publicly available research tool called the Multi-Dimensional Measure of Trust (MDMT), which identifies two superordinate factors of trust (that may further differentiate into a total of five facets): Performance Trust (Reliable, Competent) and Moral Trust (Ethical, Transparent, Benevolent).

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Oct
    2
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Oct
    1
    Virtual
    1:00pm - 3:00pm

    Brown Biology of Aging Seminar

    Join Virtual EventInstructions: 9wQA8S
    Coleen Murphy from Princeton, at 1 PM on Thursday Oct. 1.
     
    Transgenerational Inheritance of a Learned Behavior
    Thursday, October 1, 1:00 PM
    Coleen’s lab website: https://murphylab.princeton.edu/

     

    Join Zoom Meeting

    https://us02web.zoom.us/j/83981650969?pwd=d2RPemZrbC9KdGxtZHUvV3dnSXFRdz09

    Meeting ID: 839 8165 0969

    Passcode: 9wQA8S

    More Information 
  • Oct
    1
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: James Todd (Ohio State University) Emeritus Professor, Cognitive  

    Title: The perceptual categorization of surface materials

    Abstract: One of the most difficult problems in the study of human perception involves the ability of observers to correctly interpret patterns of image shading. The light that reflects from a visible surface toward the point of observation is influenced by three factors: 1) the surface geometry (e.g. smooth vs. rough), 2) the pattern of illumination (e.g. sunny days vs. cloudy days), and 3) the manner in which the surface material interacts with light (e.g. metal, plastic, glass or wax). The problem for perceptual theory is to explain how it is possible to tease apart these separate influences in order to make judgments about each individual attribute of a scene. Recent research has shown that these different factors can interact with one another when providing information for human perception, such that changes in one can alter observers’ perceptions of another. This talk will focus primarily on the perceptual categorization of surface materials, such as shiny plastic, metal, glass or wax, and how the appearance of those materials can be influenced by manipulating the pattern of illumination or the shape of the depicted object.

    Bio: My research is primarily concerned with the visual perception of 3-dimensional form from various types of optical information, such as shading, texture, motion, and binocular disparity. The specific goals of this research are twofold: First, to identify the formal characteristics of how an object’s 3-dimensional form is perceptually represented; and second, to discover how these representations are computed from the measurable properties of visual images. In addressing these issues we attempt to develop specific computational models of how image structure could be perceptually analyzed, and to empirically test the validity of those models for actual human observers.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Title: How we got alcohol addiction wrong: One lever at a time

    More Information Biology, Medicine, Public Health, Research
  • “Early Behavioral and Neural Markers of Alzheimer’s Disease”

    Hwamee Oh, PhD

    Assistant Professor of Psychiatry and Human Behavior

    Warren Alpert Medical School of Brown University

    September 30, 2020

    1 to 2 PM

    This will be held via Zoom: 

    Join Zoom Meeting

    https://zoom.us/j/95803287626

     

    Meeting ID: 958 0328 7626

    One tap mobile

    +13126266799,,95803287626# US (Chicago)

    +16465588656,,95803287626# US (New York)

     

    Dial by your location

    +1 312 626 6799 US (Chicago)

    +1 646 558 8656 US (New York)

    +1 301 715 8592 US (Germantown)

    +1 346 248 7799 US (Houston)

    +1 669 900 9128 US (San Jose)

    +1 253 215 8782 US (Tacoma)

    877 853 5247 US Toll-free

    888 788 0099 US Toll-free

    Meeting ID: 958 0328 7626

     

    More Information neurology, Research
  • Sep
    30
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.  Speaker: Speaker: Shiying Yang ( PhD student, Brown)

    Title: Too Much Information: How the Structure of the Lexicon Avoids Information Overload

    Abstract: Are lexicons subject to channel capacity considerations? We compare real lexicons of 21 languages from different language families with randomly sampled lexicons based on the phonotactics of each language, and show that in each and every case the phonotactic entropy of the real lexicon is lower than the phonotactic entropy of the samples. The results provide evidence for previously-­unstudied information-theoretic constraints on the lexicon. Though current generative models of phonotactics assume that every choice is determined in its local context, our results imply that there is an information-theoretic bottleneck on the structure of words that can be stored in lexicons, which biases languages against having multiple high­-information (low-­probability) transitions in individual words.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: MCBGP2020

    Title: “Transposable element as Trojan Horse.”

    More Information 
  • Want to recruit research participants but don’t know where to start? Learn about the IRB’s updated recruitment policy so your ads can be compliant and effective.

    RSVP required | Zoom link sent upon registration

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Education, Teaching, Instruction, Graduate School, Postgraduate Education, Humanities, IRB, ORI, OVPR, Psychology & Cognitive Sciences, Research, Social Sciences, Training, Professional Development
  • Sep
    28
    Virtual
    3:00pm - 4:00pm

    Workshop - Slurm for Beginners

    A primer on submitting jobs to the job scheduler on Oscar. Some basic familiarity with Unix/Linux systems is assumed. Topics covered include: an overview of the use of Slurm for resource allocation, submitting jobs to Slurm, and using Bash scripts to configure and submit jobs to Slurm.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Sep
    25
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:  Jonathan Kominsky (Postdoc at Rutgers)

    Title: The development of causal thought

    Abstract: We rely on the human mind’s uniquely sophisticated understanding of cause and effect when we flick a light switch to turn on a light, or recognize that an object’s movement is caused by the person holding it rather than the other way around, or even understand the meaning of a verb. Yet there are foundational questions about causality in the mind that we have not yet answered. How do infants’ understandings of simple causal events become the complex causal concepts that we manipulate as adults, and the even more intricate causal reasoning we engage in as scientists? Past work has argued that mature causal understanding springs from a single atomic notion of causality but disagreed about whether that origin is a perceptual module, a domain-general learning system, or the experience of being a causal agent. I will present recent projects that support a different kind of explanation: that we start with multiple, disconnected ways of understanding cause and effect, and must construct a more integrated concept of causality later in development.

    Bio:I am interested in how our minds represent the many cause-and-effect relationships we encounter in our daily lives, and how these representations are used in reasoning, perception, and action. I use tools from vision science, cognitive psychology, and developmental psychology to examine what kinds of causality are represented in the mind, how different kinds of causal representations may be related to each other, and how they emerge during development.

    I also created PyHab, an open-source system for infant looking-time studies. It is designed for real time infant gaze coding and stimulus presentation, and creates self-contained experiment folders to make it easier to share your whole experiment, stimuli and code, across labs or for repositories like OSF. You can find out more about it here.

    I am currently a postdoctoral associate in the Computational Cognitive Development Group at Rutgers - Newark. Before that, I was a postdoctoral fellow at the Harvard Lab for Developmental Studies for three years.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • “The Problem with the Phrase “Women and Minorities”: Intersectionality, An Indispensable Critical Theoretical Framework for Behavioral and Social Health Science Research”

    Friday, September 25, 2020
     12:00 PM – 12:55 PM
    Zoom ID: 927 3899 8271

    Historically rooted in Black feminist activism, intersectionality is a critical theoretical framework that posits that power and social inequity are differently structured, and vary based on people’s multiple and intersecting demographic positions (e.g., race, ethnicity, gender, gender and sexual minority status, socioeconomic status). Intersectionality has made impressive inroads within the behavioral and social health sciences (BSHS) in recent years. It enhances BSHS research by challenging “single-axis” assumptions such as that connoted by the phrase “women and minorities,” and centering the experiences and needs of people marginalized by intersectional discrimination. This presentation will: (1) provide an overview of intersectionality, its history, and core tenets; (2) describe how intersectionality challenges conventional assumptions about groups of people and social issues; (3) highlight applications of intersectionality to NIH-funded health research with U.S. Black men; and (4) discuss why critical perspectives such as intersectionality are indispensable for BSGS researchers committed to social justice work.

     

    Lisa Bowleg, Ph.D. is Professor of Applied Social Psychology in the Department of Psychological and Brain Sciences at The George Washington University (GW), Director of the Social and Behavioral Sciences Core of the DC-Center for AIDS Research, and the Founding Director of the Intersectionality Training Institute at GW. She is a leading scholar of the application of intersectionality to social and behavioral science research, as well as research focused on HIV prevention and sexuality in Black communities.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Identity, Culture, Inclusion, Research, Social Sciences
  • Sep
    25
    “The processing of shape-motion associations in inferior temporal cortex”
    More Information Biology, Medicine, Public Health, Research
  • Sep
    25
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 180409

     

    Neuroscience Graduate Program

    2020-2021 Bench to Bedside Seminar Series

     

    “Effects of COVID-19 on the Nervous System”

     

    Hooman Kamel, M.D.

    Vice Chair for Research, Department of Neurology

    Weill Cornell Medicine

     

    and

     

    Josef Anrather, V.M.D.

    Professor, Feil Family Brain and Mind Research Institute

    Weill Cornell Medicine

     

    September 24, 2020 at 4:00pm

    Zoom link: https://brown.zoom.us/j/96654518749?pwd=LzMxRndkTk1rVFEwOURaK1ZjTUthdz09

    Passcode: 180409

      

    Organized by the Brown University Center for Translational Neuroscience

     

    Host: Eric M. Morrow, M.D., Ph.D.

    More Information Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Sep
    24
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Melisa Menceloglu (Postdoc at Song Lab)

    Title: Behavioral and EEG Investigations of Temporal Orienting of Attention in Vision & Audition
    Abstract:
    Orienting attention enables us to efficiently select, process, and react to relevant objects in complex environments. Just as we can orient attention in space and to certain object features, recent research has shown that we can also orient attention in time (temporal orienting). In my graduate work, I studied the mechanisms and the effects of temporal orienting driven by various temporal structures (e.g. single intervals, rhythms, passage of time) and under different task/attentional demands using behavioral and EEG methods. In this talk, I will present my work on interval-based temporal orienting (this can be thought of as the temporal analog of spatial cueing where certain cue-to-target intervals, instead of target locations, are cued/more probable). I will present a series of behavioral studies where I demonstrate that (1) not just explicitly but also implicitly learned temporal structures can lead to temporal orienting and influence response times without influencing response conflict in the visual modality, (2) temporal orienting weights visual signals more strongly than auditory signals in the context of audiovisual competition, and (3) temporal orienting is controlled independently from attentional orienting to specific sensory modalities across the auditory and visual modalities. Lastly, I will present an EEG study where I use auditory and visual steady-state evoked potentials to examine the effects of temporal orienting on the ongoing sensory processing across perceptual and motor tasks.

    Bio: Melisa Menceloglu is a Postdoctoral Research Associate in the CLPS department at Brown. Her research focuses on perception, action, and attentional processes in the temporal domain. She uses behavioral and EEG methods to understand how we generate expectations about timing of events and orient attention to specific points in time, and how auditory and visual perceptual processes and goal-directed action are altered with temporal orienting of attention.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: clpstalk

    Speaker: Dr. Nicholas Christakis, Yale University
    Title: Social Network Interventions
    Abstract: Human beings choose their friends, and often their neighbors, and co-workers, and we inherit our relatives; and each of the people to whom we are connected also does the same, such that, in the end, we humans assemble ourselves into face-to-face social networks. Why do we do this? And how might a deep understanding of human social network structure and function be used to intervene in the world to make it better? Here, I review recent research from our lab describing three classes of interventions involving both offline and online networks that can help make the world better: (1) interventions that rewire the connections between people; (2) interventions that manipulate social contagion, facilitating the flow of desirable properties within groups; and (3) interventions that manipulate the position of groups of people within network structures. I will illustrate what can be done using a variety of experiments in settings as diverse as fostering cooperation in networked groups online, to fostering health behavior change in developing world villages, to facilitating the diffusion of innovation or coordination in groups. I will also focus on recent experiments with “hybrid systems” comprised of both humans and “dumb bots,” involving simple artificial intelligence (AI) agents interacting in small groups. By taking account of people’s structural embeddedness in social networks, and by understanding social influence, it is possible to intervene in social systems to enhance desirable population-level properties as diverse as health, wealth, cooperation, coordination, and learning.

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: Link will be sent upon RSVP.

    Please join us on Wednesday, September 23rd at 1PM EST for a presentation by Dr. Nicole Nugent: “Ecological Sampling of Affect, Social Context and Suicidal Thoughts and Behaviors.” For adolescents hospitalized for suicidal thoughts and behaviors, the transition from inpatient to the home environment is a high risk time for repeated attempts, re-hospitalization, and even death by suicide. However, most research aimed at understanding the factors that contribute to this risk is implemented retrospectively, resulting in a host of biases in reporting and preventing treatment developers from fully capitalizing on intervention efforts that could be implemented in the real world after adolescents leave inpatient.

    Dr. Nugent’s research (R01MH105379) used ecological sampling methods to assess adolescent affect, social experiences, and suicidal thoughts and behaviors in real time over the course of 3 weeks following discharge from inpatient hospitalization. Preliminary analyses support the importance of understanding dynamic affect in the moment, with ecological momentary assessment, the electronically activated recorder, and online social networking. Nuances of this work and clinical implications for translation to just in time adaptive interventions (JITAIs) will be briefly described.

    Nicole Nugent, PhD is an Associate Professor in the Departments of Psychiatry and Human Behavior, Pediatrics, and Emergency Medicine at the Warren Alpert Medical School of Brown University and is a child clinical psychologist at Hasbro Children’s Hospital. Dr. Nugent is Associate Director of the Center for Digital Health, where she collaborates with colleagues throughout the digital health community to develop impactful tools for scientific understanding and individual treatment. She is also Director of the Rhode Island Resilience Project and Associate Director of the Stress Trauma and Resilience (STAR) Institute, positions aimed at furthering the field of traumatic stress through research, training, and community outreach. Dr. Nugent serves as Director of Resilience and Psychological Services at the Hasbro Pediatric Refugee Clinic, a role that informs research efforts that permit translation to intervention across diverse populations.

    *Location: Zoom meeting
    *Time: Wed. September 23rd @ 1:00-2:00 EST

    ***RSVP here and we will send you the calendar invite***

    Contact us at [email protected] or [email protected] with any questions. We hope to see you there!

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Sep
    23
    Virtual
    12:00pm - 1:30pm

    LingLangLunch

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker: Lelia Glass (Georgia Tech)

    Title: The lexical and compositional semantics of distributivity

    Abstract: Some predicates are distributive (true of each member of a plural subject: if two people smile, they each do). Others are nondistributive (if two people meet, they do so jointly rather than individually), or go both ways: if two people open a window, perhaps they each do so (distributive), or perhaps they do so jointly but not individually (nondistributive).

    This paper takes up the rarely-explored lexical semantics question of which predicates are understood in which way(s) and why, presenting quantitative evidence for predictions about how certain features of an event shape the inferences drawn from the predicate describing it. Causative predicates (open a window), and predicates built from transitive verbs more generally, are shown to favor a nondistributive interpretation, whereas experiencer-subject predicates (love a movie) and those built from intransitive verbs (smile) are mostly distributive.

    Turning to the longstanding compositional semantics question about how distributivity should be represented semantically, any such theory ends up leaving much of the work to lexical/world knowledge of the sort that this paper makes explicit.

    Bio: Assistant Professor of Linguistics in the School of Modern Languages at Georgia Tech.

    She works on lexical semantics (word meaning), compositional semantics (sentence meaning), and pragmatics (inferences drawn in context) from an empirically rich perspective. She is particularly interested in how our knowledge of the (physical, social) world affects our interpretation of language.

    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join Virtual EventInstructions: MCBGP2020

     

    Center for Translational Neuroscience Seminar Series

    and

    MCB Graduate Program Seminar Series

     

    “Somatic Mutation and Genomic Diversity in the Human Brain During Development, Disease, and Degeneration”

     

    Christopher A. Walsh, M.D., Ph.D.

    Bullard Professor of Neurology

    Chief, Division of Genetics and Genomics

    Investigator, Howard Hughes Medical Institute

    Harvard Medical School and

    Boston Children’s Hospital

     

    Wednesday, September 23, 2020 at 12:00pm

    via Zoom

     

    Hosts: Eric M. Morrow, M.D., Ph.D. and Judy S. Liu, M.D., Ph.D.

    More Information Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Sep
    22
    Virtual
    12:00pm - 1:30pm

    Social Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series.

    Speaker:  Joel Martinez is a PhD student at the Princeton Dept. of Psychology and the School of Public and International Affairs, and is advised by Drs. Alexander Todorov and Betsy Levy Paluck.

    Title: Mapping and shaping cognitive representations of immigrants
    Abstract: Who or what is mentally conjured when you hear “undocumented immigrants” or “illegal immigrants”? What if they’re further described as Mexican, Irish, welfare recipients, criminals, or high achievers? The contents of these representations fundamentally reflect how immigrants are understood within and between individuals, constituting a bridge between structural forces and political decision- and meaning-making. Across four studies, I take advantage of recent methodological advances to 1) map cognitive representations of immigrants across evaluative, visual, and geographic spaces, 2) quantify how shared they are, and 3) explore how we might modify them. Results reveal how immigrant representations are consistently and widely racialized through the incorporation of strongly institutionalized and thus readily available racial schemas. This cognitive racialization can be countered (to some extent) and does not occur uniformly across people as there exists meaningful and clustered variation in immigrant representations. Together these findings place social cognition in more direct conversation with critical theorizing and offer fresh approaches for investigating relations between individual and collective beliefs.
    Sign up for meetings with speakers here. This will require you to log in using your Brown account. The seminar organizers will follow up with you via email about scheduling.
    More Information Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Psychology & Cognitive Sciences
  • Sep
    21
    Virtual
    3:00pm - 4:00pm

    Workshop - Basic Bash

    This workshop will cover basic shell scripting in Bash: variables, loops, pipes and more so participants can learn to automate work with Bash. We will assume participants have some familiarity with the linux command line.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • One of the many difficulties in 3D deep learning is a lack of large,
    clean and labeled datasets. Acquiring and labeling large amounts of 3D
    data is not only cumbersome, but also requires using fundamental
    geometry processing pipelines that are not robust to geometry in the
    wild. Moreover, even high-quality 3D mesh models for similar shapes are
    extremely inconsistent with respect to triangulation and
    water-tightness, for example. On the other hand, training neural
    networks on single images has demonstrated surprisingly superb
    performance on a variety of different tasks. In this talk, I will
    present two recent works which propose training deep networks on a
    single shape, as well as discuss a future work in this direction. In
    Point2Mesh [SIGGRAPH 2020], we leverage the inductive bias of
    convolutional neural networks to learn a self-prior for surface
    reconstruction. We iteratively deform an initial mesh to “shrink-wrap”
    the input point cloud, resulting in a watertight mesh reconstruction.
    The weight-sharing property of CNNs models recurring and correlated
    structures within a single shape, and inherently removes noise and
    outliers. In Deep Geometric Texture Synthesis [SIGGRAPH 2020], we train
    a hierarchical GAN to learn to model the local geometric textures of a
    single shape. Our network displaces mesh vertices in any direction
    (i.e., in the normal and tangential direction), enabling synthesis of
    geometric textures, which cannot be expressed by a simple 2D
    displacement map.

    Rana Hanocka is a Ph.D. candidate at Tel Aviv University under the
    supervision of Daniel Cohen-Or and Raja Giryes. Rana obtained an M.Sc.
    in Electrical Engineering from Tel Aviv University and a B.Sc. in
    Electrical Engineering from Rensselaer Polytechnic Institute in Troy,
    NY. Rana is the recipient of the 2020 Dan David Prize in Artificial
    Intelligence, and an Outstanding Data Science Fellow (since 2019)
    awarded by Israel’s Council for Higher Education. Rana’s research
    interests include computer graphics and machine learning. In particular,
    she is working on ways to use deep learning for manipulating, analyzing
    and understanding 3D shapes.
    Host: Professor Daniel Ritchie
    More Information 
  • Sep
    21
    Virtual
    12:00pm - 1:30pm

    Developmental Brown Bag

    This will be an informal welcome back and data blitz for the first meeting of the CLPS Developmental Brown Bag Seminar Series - fall ’20.

    More Information Carney Institute for Brain Science, Neuroscience
  • Sep
    18
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Structural Homeostasis in Dendrite

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Sep
    17
    Virtual
    12:00pm - 1:30pm

    Perception & Action Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series. Presentation by some CLPS 1st Year  Graduate Students

    Speakers: Anthony Bruno (Welch Lab), Kei Yoshida (VENLab), Yifei “Jerry” Hu ( Song Lab).

    Speaker: Anthony Bruno
    Title: Visual and Auditory Polyrhythm Perception
    Abstract: Engaging in time perception through music has long been a celebrated and culturally relevant practice. What is peculiar, however, is that humans do not possess a specific sensory organ that is dedicated to perceiving time. Here we investigated whether timing precision varied across vision and audition, and whether the complexity of the meter impacted individuals’ sensitivity to tempo changes. We presented computer-generated stimuli and measured sensitivity to tempo changes. Visual stimuli comprised gratings that modulated at one tempo and plaids that combined tempos into a 3-against-2 polyrhythm. Auditory stimuli differed by three octaves and modulated in isolation or in a 3:2 ratio to create auditory polyrhythms. College students classified the tempo of each stimulus as faster or slower than an “average” tempo. Thresholds did not differ significantly across vision and audition, regardless of task. However, participants generated significantly lower (better) timing thresholds while making judgements on Slow Isolation Tempo trials than on Fast Isolation or Fast Polyrhythm Tempo conditions. The observed effect demonstrates that college students possess greater sensitivity to timing differences at slow tempos (~120 beats per minute or 3 Hz). In the context of our study, the implicit grouping of a polyrhythm did not aid nor distract the observer while making tempo judgements, and the sensory mode of the stimulus did not impact timing precision.


    Speaker: Yifei “Jerry” Hu
    Title: Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment
    Abstract:
    Objective: The study examines the factors determining the movement time (MT) of positioning an object in an immersive 3D virtual environment.Background: Positioning an object into a prescribed area is a fundamental operation in a 3D space. Although Fitts’s law models the pointing task very well, it does not apply to a positioning task in an immersive 3D virtual environment since it does not consider the effect of object size in the positioning task.
    Method: Participants were asked to position a ballshaped object into a spherical area in a virtual space using a handheld or head-tracking controller in the ray-casting technique. We varied object size (OS), movement amplitude (A), and target tolerance (TT). MT was recorded and analyzed in three phases: acceleration, deceleration, and correction.
    Results: In the acceleration phase, MT was inversely related to object size and positively proportional to movement amplitude. In the deceleration phase, MT was primarily determined by movement amplitude. In the correction phase, MT was affected by all three factors. We observed similar results whether participants used a handheld controller or head-tracking controller. We thus propose a three-phase model with different formulae at each phase. This model fit participants’ performance very well.
    Conclusion: A three-phase model can successfully predict MT in the positioning task in an immersive 3D virtual environment in the acceleration, deceleration, and correction phases, separately.
    Application: Our model provides a quantitative framework for researchers and designers to design and evaluate 3D interfaces for the positioning task in a virtual space.

    Speaker: Kei Yoshida
    Title: Perceptual-motor Recalibration in Naturalistic and Virtual Environments
    Abstract: The way people learn to interact with the physical world can be conceptualized as a perception-action loop. For new situations, existing schemes are used to make predictions, take actions, and adjust actions based on the feedback. Through this system, people can adapt their motions, such as walking and turning, as environmental conditions change. This locomotive recalibration has been investigated in several experiments in the naturalistic environment. However, there has been less research examining recalibration effects in immersive virtual environments. The present research investigated 1) how perceptions and actions work together and 2) how people respond differently to virtual and naturalistic environments. Specifically, it examined whether a recalibration effect created in a virtual environment had the same characteristics as rotational locomotion in the naturalistic environment. It followed the designs of previous experiments in naturalistic environments and consisted of a pre-test, recalibration phase, and a post-test. The results indicated that there is the same recalibration effect in naturalistic and virtual environments, and rotational recalibration effects transfer between naturalistic and virtual contexts.


    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    15
    Join Virtual EventInstructions: Meeting ID: 975 8003 2281

    For our first seminar of the 2020-2021 academic year, we are welcoming Dr. Leila Tarokh, Ph.D., Senior Scientist and Group Leader from the University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Switzerland.

    Dr. Tarokh’s presentation is entitled: “Interindividual differences in sleep neurophysiology: Genetic and environmental influences”

    Abstract: Striking interindividual variability exists in the sleep EEG of adolescents. In this talk I will present data showing the degree to which environmental and genetic factors contribute to this variability and discuss how these findings inform our studies in patients with psychiatric disorders.

    —-

    ZOOM INFORMATION https://brown.zoom.us/j/97580032281 Meeting ID: 975 8003 2281

    —-

    The PSRIG seminar series has been hosted by Dr. Carskadon and her lab at Brown University for over 25 years. PSRIG has historically served as a venue for the local sleep research and sleep medicine community, and for trainees, to learn about current basic and clinical sleep research.

    This year the series will be held virtually and we are thrilled to involve a diverse lineup of speakers from various institutions both nationally and internationally, and to open this seminar to a wide audience! Seminars will be held at 12pm on the 3rd Tuesday of each month.

    If you would like to be added to the PSRIG mailing list, please email Patricia Wong .

    More Information Research
  • Sep
    14
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Sep
    14

    The fall semester is getting underway, which means that the Visual
    Computing Group is resuming its regular weekly meetings. At our fall
    kick-off meeting, current group members will present quick “flash talks”
    about their recent and/or ongoing research projects. Come and hear about
    the exciting research in computer graphics, computer vision,
    visualization, and human-computer interaction that’s going on at Brown CS!

    More Information 
  • Sep
    11
    Virtual
    2:00pm - 3:30pm

    Cognitive Seminar Series

    Michael S. Goodman ’74 Memorial Seminar Series. Presentations by CLPS grad students discussing their current work: Alexander Fengler, Alana Jaskir, Jason Leng & Harrison Ritz

    More Information Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    11
    Virtual
    12:00pm - 2:00pm

    CLPS Ph.D. Defence: Ran Xu

    Speaker: Ran Xu, Brown University

    Title: Learning Time: Mechanisms of Temporal Perceptual Learning

    Advisor: Takeo Watanabe

    ~ link information to the meeting sent toCLPS all ~

    If you are not part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator with at least a 24 hour notice.

    More Information Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Sep
    11
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Sep
    10
    Virtual
    10:00am - 11:00am

    Data Fluency Certificate Info Session

    The undergraduate Certificate in Data Fluency is for students who wish to gain fluency and facility with the tools of data analysis and its conceptual framework. The program is designed to provide fundamental conceptual knowledge and technical skills, to students with a range of intellectual backgrounds and concentrations, while emphasizing a critical liberal learning perspective. Find out more about the certificate in this information and Q & A session, hosted by professor Linda Clark of DSI and the Sheridan Center.

    More Information Education, Teaching, Instruction, Social Sciences
  • Join Virtual EventInstructions: 988 5893 1922

    Child & Adolescent Psychiatry Grand Rounds*
    Psychosis-risk syndromes in adolescence: clinical features, assessment considerations, and strategies for treatment engagement
    Elizabeth Thompson, Ph.D.
    Assistant Professor of Psychiatry and Human Behavior
    Alpert Medical School of Brown University
    Research Scientist, Rhode Island Hospital
    Wednesday, September 9, 2020◊ 11:00 am - 12:00 pm
    Course Link: https://cme-learning.brown.edu/Child-Adolescent-2021
    September 9, 2020
    Join Zoom Meeting: https://brown.zoom.us/j/98858931922
    Meeting ID: 988 5893 1922

    Password: dphb

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • Sep
    8
    Virtual
    4:00pm - 6:00pm

    Brown 2020 PAARF

    Join Virtual EventInstructions: Meeting ID: 813 8464 3560 Passcode: 4Jt8SK

    Brown 2020 PAARF

     

    4:00PM

    Max Petersen

    Dubielecka-Szczerba Lab

    Proximity Dependent Labeling to Characterize Abi-1 in Aging, Inflammation and Bone Marrow Failure.

     

    4:30PM

    Alexandra D’Ordine

    Jogl and Sedivy Labs

    Characterization of the LINE-1 retrotransposon endonuclease domain to target age-associated disease.

     

    ZOOM INFO:

    Join Zoom Meeting https://us02web.zoom.us/j/81384643560?

    pwd=NE9aVVVhUllwSTJUWFZqNUM5MTFndz09

    Meeting ID: 813 8464 3560 Passcode: 4Jt8SK

     

    brown.edu/centers/biology-aging/

    More Information 
  • Sep
    4
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join Virtual EventInstructions: 947 2200 5986

    Academic Grand Rounds*

    Advancing a Public Health Framework for Sexual Assault Prevention

    Lindsay M. Orchowski, Ph.D.

    Associate Professor (Research)

    Deputy Title IX Coordinator

    Department of Psychiatry and Human Behavior

    Alpert Medical School of Brown University

    Staff Psychologist, Rhode Island Hospital

    Wednesday, September 2, 2020◊ 11:00 am - 12:30 pm

    Course Link: https://cme-learning.brown.edu/DPHB-Series-2021

    September 2, 2020

    Join Zoom Meeting: https://brown.zoom.us/j/94722005986
    Meeting ID: 947 2200 5986

    Password: dphb

    More Information Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • In this hands-on, interactive workshop designed for faculty and postdocs who are new to teaching at Brown, participants will review strategies for the first days of class and creating an inclusive environment in an online and hybrid environment, and discuss opportunities for reflection in one’s teaching. The workshop will include time for a question-and-answer session about teaching for the first time at Brown. This session is designed for faculty and postdocs who did not have the opportunity to attend the Launch New Faculty Teaching Orientation or Anchor Course Design Institute. Please register to receive a Zoom link.

    More Information 
  • In this work, I present an implemented model that can learn interactively from natural language, enabling non-expert human trainers to convey complex tasks to machines using task decomposition and a combination of evaluative feedback and natural language.

    Over a series of experiments and associated algorithms, I show:
    (1) Contrary to the assumptions of methods that learn behavior interactively, feedback from people is policy dependent.
    (2) The method of COnvergent Actor-Critic by Humans (COACH) can interpret and learn from this kind of feedback.
    (3) Complex tasks can be hard to learn directly from feedback, but non-expert human trainers can decompose complex tasks into simpler units.
    (4) Geometric Linear Temporal Logic (GLTL) can be used as a logical form that can capture decomposed task descriptions and serve as the basis of an effective learning algorithm for building complex tasks.
    (5) People can use natural language feedback to convey evaluative feedback effectively.
    (6) A deep sequence-to-sequence (Seq2Seq) approach can be used to interpret natural language feedback while discovering how to convert spontaneous natural language input to GLTL for machine execution.

    These elements are demonstrated in an implemented system that learns online from interaction with an end user to interpret and execute the user’s tasks.

    Host: Professor Michael Littman

    More Information 
  • Aug
    28
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Aug
    27

    Ph.D. candidate Pratistha Shakya will present her disseration defense: “Enhancing Machine Olfaction with Spatiotemporal Information.” The presiding officer will be Professor Jacob Rosenstein.

    All are welcome. Please note: Waiting room feature will be enabled. All participants will be muted.

    More Information 
  • Aug
    26
    Virtual
    3:00pm - 4:00pm

    Advance-K Pre-Application Info Session

    Join this virtual information session to learn all about the Advance-K Scholar Career Development Program. Participants will have the opportunity to ask questions about the program and speak with program leadership.

    About the Program:

    This year-long program trains and supports highly qualified junior faculty in the preparation of individual, extramural career development award (CDA) applications (NIH K series or equivalent), and connects them to resources, mentorship, and other career development opportunities. By the conclusion of the program, participants will have prepared and submitted an extramural CDA application. 

    More Information Biology, Medicine, Public Health, Research, Training, Professional Development
  • This workshop will cover basic performance optimization techniques using parallel computing techniques in MATLAB, including: parallel for-loops (parfor), single program multiple data (spmd), and distributed arrays. We assume that participants have a relatively advanced knowlege of the MATLAB programming language and have written at least one scientific computing application.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Aug
    21
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join the Carney Institute for Brain Science for a conversation about how traditional brain recording techniques (MEG/EEG) are coming together with new computational tools to inform new directions for brain science research. 

    This event will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute, and it will feature Stephanie Jones, associate professor of neuroscience at Brown University, and Frederike Petzschner, who will join the Carney Institute this year as a fellow. 

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Aug
    17
    Virtual
    3:00pm - 4:00pm

    Workshop - Slurm for Beginners

    A primer on submitting jobs to the job scheduler on Oscar. Some basic familiarity with Unix/Linux systems is assumed. Topics covered include: an overview of the use of Slurm for resource allocation, submitting jobs to Slurm, and using Bash scripts to configure and submit jobs to Slurm.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • This two-week workshop, organized by Carney’s Center for Computational Brain Science, will provide the basic tools for understanding, developing and applying models to brain science questions, from high-level cognition (how do I choose where to eat lunch?), to neural mechanisms (how do our neurons decide whether an animal is a dog or a lion?).

    This workshop is designed for researchers across fields, backgrounds and levels of experience: computation “novices” with no experience and those with more computational experience who have not yet mastered the science of model selection and parameter estimation, or wish to learn more on specific classes of models.

    Week 1

    Week 1 will cover methods and challenges of using computational models for hypothesis testing and quantitative fitting of behavioral data and brain-behavior relationships. Topics include model validation and selection, posterior predictive checks, maximum likelihood, hierarchical estimation, neural regressors, etc. We will have daily lectures and discussion, as well as hands-on coding tutorials, and advanced sessions providing a deeper understanding of complex modeling topics, pitfalls and concepts, for participants already familiar with basic techniques.

    Week 2

    In Week 2, participants will have a chance to participate in a collaborative modeling challenge, using a novel dataset that integrates across multiple aspects of cognition and perception, including cross-species neural data. Prizes will be given for models with best predictive power, rigor, creativity and innovation.

    Computational experience is not required.

    For details on last years’ workshops, visit the Center for Computational Brain Science website. View last year’s syllabus. We will cover most of the same basic topics, with a few tweaks and additions (to be determined based on participant input).

    Participation is limited to 20. Please use this form to sign up.

    More Information CCBS, Psychology & Cognitive Sciences, Research
  • Aug
    14
    Virtual
    10:00am - 12:00pm

    CANCELED: CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Aug
    12
    Virtual
    3:00pm - 5:00pm

    CLPS Ph.D. Defence: Jianfei Guo

    Speaker: Jianfei Guo, Brown University

    Title: Action Training Facilitates Perception and Cognition

    Advisor: Joo-Hyun Song

    ~ link information to the meeting sent toCLPS all ~

    If you are not part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator with at least a 24 hour notice.

    More Information Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Join the Carney Institute for an information session and Q&A about the 2020 call for applications for the institute’s Innovation Awards in Brain Science. The purpose of these awards is to launch innovative projects that have great potential to advance science and benefit society in ways that have major and lasting impact. The Innovation Awards in Brain Science are open to all Brown faculty members conducting brain science research at Brown University or its affiliated hospitals. Applications are due August 31, 2020.

    More Information Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Aug
    10
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Aug
    7
    Join Virtual EventInstructions: Contact [email protected] for code

    “Neural correlates of early and late stage learning
    in the hippocampus and postrhinal cortex”

    Advisor:  Rebecca Burwell

    More Information 
  • Aug
    7
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Aug
    3
    Virtual
    3:00pm - 4:00pm

    Workshop - File Transfer Basics

    An overview of methods for moving files onto and off of Oscar. Topics covered include: Linux command line tools for file transfer (scp, rsync, sftp), GUI-based file transfer applications, mounting Oscar’s filesystem using CIFS, and using Globus on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • The second Dr. Samuel M. Nabrit Conference for Early Career Scholars will take place August 3-5, 2020. Hosted by the Department of Molecular Biology, Cell Biology and Biochemistry at Brown University, conference sessions will convene online via Zoom from 1:00 - 5:30 pm EDT August 3, 4 and 5. The purpose of this conference is to showcase the research achievements of outstanding molecular life scientists from historically underrepresented groups. Featuring keynote presentations by Breann Brown, Ph.D. (Vanderbilt University) and Saul Villeda, Ph.D. (UCSF), the conference program also includes short talks, small group discussions, poster sessions, a faculty panel and a junior researchers’ roundtable. To apply, please visit the conference website.

     

    More Information Biology, Medicine, Public Health, Identity, Culture, Inclusion, Research, Training, Professional Development
  • Join Virtual EventInstructions: Link will be sent to faculty prior to talk.

     

    Mass Polarization in the US and Elsewhere

     

    Jesse Shapiro, Eastman Professor of Political Economy

    Shapiro will discuss trends in mass political polarization across demographic groups within the US and across different countries and will discuss possible causes of these trends in light of the evidence.

     

    Please note this talk is restricted to Brown Faculty only. An event link will be sent to registered participants before the talk.

    To register, please visit the DSI Eventbrite page.

     

     

    More Information 
  • Jul
    31
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Join the Carney Institute for a weekly informal gathering on methods for brain science, featuring rotating topics selected by the Brown brain science community. Vote for your preferred topic using this form.

    This week’s topic is animal behavioral monitoring. We will be joined by David Sheinberg, professor of neuroscience at Brown.

    Please note, this workshop requires you to be logged into Zoom through your Brown account. Click to learn more.

    More Information Biology, Medicine, Public Health, CCBS, CTN, Psychology & Cognitive Sciences, Research
  • Jul
    27
    Virtual
    3:00pm - 4:00pm

    Workshop - Advanced Slurm

    This workshop is for people who are already familiar with Slurm, but would like to use Slurm’s more powerful features. Topics covered include: dependencies for conditional execution of jobs, job arrays for parameter sweeps, dealing with hundreds or thousands of small tasks, how to limit the number of jobs running at once, and how to cancel multiple jobs.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Jul
    27

    Sun Maybury-Lewis

     

    Chromatin and Transcriptional Networks Regulating Mammalian Neural Stem Cells

     

    Advisor: Ashley Webb, Ph.D.

    More Information Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Research
  • Jul
    24
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • This workshop will cover basic performance optimization techniques using MATLAB, including: code profiling, pre-allocation, sequential memory access, vectorization, and efficient matrix-vector storage and operations. We will assume that participants have a basic understanding of the MATLAB programming language.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • This series of faculty for faculty talks is an opportunity for faculty to share current data science–related research activities with other faculty colleagues in an informal environment. The talks will be presented at a very general level, to stimulate discussion and interdisciplinary interchange of ideas.

    Our goal is to provide a networking venue that promotes research collaborations between faculty across all disciplines; awareness of the breadth of data science–related research at Brown; and a forum for faculty to share their expertise with one another.

    Participation is limited to Brown faculty members. Please click here to register, and the Zoom link will be sent to you before the event. 

    Jonathan Pober, Department of Physics: Mapping the Universe with Radio Astronomy and Big Data 

    The field of “21 cm cosmology” is one with a simple premise: all the neutral hydrogen gas in the Universe can be traced through its unique radio wave emission (the “21 centimeter line”). Mapping the hydrogen in the Universe in this way offers an unparalleled probe of cosmic evolution, the formation of the first stars and galaxies, and the make-up of the Universe. However, the hydrogen signal is swamped by other radio emission – both human-generated and astrophysical – and, to date, it has not been successfully measured. Extracting the signal from these contaminants will require that the radio telescopes performing the observations are modeled with a precision never before achieved in radio astronomy. In this presentation, I will highlight what a successful 21 cm cosmology experiment / analysis pipeline might look like, with an emphasis on the multiple data science challenges that arise as we attempt to make this measurement.

    Register here.

    More Information 
  • Jul
    17
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  • Facilitating Active Learning in all Kinds of Teaching

    The facilitation of active learning on the part of our medical students and residents is the main function of all medical educators. The more learners are asked to recall, expand, prioritize, summarize, differentiate, and connect (insert additional active verbs here!), the deeper their understanding will be. This workshop will review how to incorporate active learning into various kinds of instructional practice, and will provide concrete, easy to implement tips for educators.

    This session is part of a “by-request” series of workshops on teaching and learning. Once restrictions on gatherings have been lifted, departments or other groups can request this workshop as an in-person session by filling out this form, or emailing [email protected].

    Learning Objectives:

    After this session participants will be able to:

    • Recognize the importance of active learning
    • Describe techniques to facilitate active learning that are appropriate to various kinds of teaching
    • Apply techniques to facilitate active learning to their own teaching

    REGISTER HERE

    More Information Biology, Medicine, Public Health, Education, Teaching, Instruction, Teaching & Learning, Training, Professional Development
  • Jul
    13
    Virtual
    3:00pm - 4:00pm

    Workshop - Getting Started on Oscar

    An introduction to Oscar, Brown’s research computing cluster, for new users. Participants will learn how to connect to Oscar (ssh, VNC), how to navigate Oscar’s filesystem, and how to use the module system to access software packages on Oscar.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Jul
    10
    Virtual
    10:00am - 12:00pm

    CCV Office Hours

    Drop in on the Zoom meeting to ask members of CCV’s High-Performance Computing (HPC) team your questions about using Oscar or any other research computing topics you are interested in.

    More Information Computing, HPC, Research
  •  Carney Methods Meetups

    Join the Carney Institute for a weekly informal gathering on methods for brain science, featuring rotating topics selected by the Brown brain science community. Vote for your preferred topic using this form. 

    This week’s topic is Deep sequencing platforms/technologies. We will be joined by Christoph Schorl, assistant professor of biology (research) at Brown and facility director of the Brown Genomics Facility. 

    Please note, this workshop requires you to be logged into Zoom through your Brown account. Click to learn more.

    More Information Biology, Medicine, Public Health, CCBS, CTN, Psychology & Cognitive Sciences, Research
  • Jul
    6
    Virtual
    3:00pm - 4:00pm

    Workshop - Version Control with Git

    A practical introduction to version control for software management using Git. Topics covered include: creating a repository, checking the status of a repository, committing changes, viewing changes, reverting to older versions of files, and setting up a remote repository.

    This will be a virtual workshop. Registered participants will receive an email with instructions for connecting via Zoom the day of the workshop.

    Registration: Google Forms

    More Information Computing, HPC, Research
  • Join the Carney Institute for Brain Science for a conversation on how emotions can foster disease prevention behaviors during the COVID-19 pandemic with Oriel FeldmanHall, assistant professor of cognitive, linguistic and psychological sciences at Brown University.

    This event will be moderated by Diane Lipscombe, Reliance Dhirubhai Ambani Director of the Carney Institute, and Christopher Moore, associate director of the Carney Institute.

    More InformationRegistration for this event is now closed. Biology, Medicine, Public Health, Psychology & Cognitive Sciences, Research
  • Jun
    29

    The first Brown Unconference is a remote gathering which provides an opportunity for researchers across campus to come together and explore advances in computational sciences at the intersection of data science and AI with other sciences including biology, physics, chemistry, engineering, neuroscience and cognitive science.

    Our goal is to foster an accessible and welcoming environment open to members of the Brown community across all disciplines and levels of expertise. We want to celebrate Brown’s uniqueness and help foster collaborations across disciplines. Students and postdocs are especially encouraged to present their research to the broader community. The Unconference will include opportunities to meet researchers across scientific interests, hear from invited speakers, and receive feedback from diverse points of view.

    We encourage submissions at all points of the scientific process.

    Important Dates

    • Abstract Submission Deadline: June 15, 2020
    • Conference: June 29-30, 2020

    Schedule
    We will host the following events distributed across the two days of the conference. Please find instructions on how to get involved in the next section. The detailed schedule will be published closer to the conference.

    • Lightning talks: 2-3 minute talks (2 slides max) – for those who may be in the early stages of their research, to introduce themselves, share their interests, pitch projects, or simply network with other members of the conference.
    • Short talks: 12 minute talks – for those ready to present their research in an informal setup. Presented research can be in progress and data can be preliminary.
    • Networking & Mind Match: Tailored social and networking programming. The unconference is a safe space to share ideas so feel free to send work in progress. Members of the Brown community from all academic backgrounds are encouraged to submit an abstract!

    Register to Attend
    Register to attend the conference virtually. By registering, you will receive a notification when we announce the schedule with links to the Crowdcast pages.

    Submit an Abstract
    If you’re interested in talking about your research, please submit an abstract.

    More Information Biology, Medicine, Public Health, CCBS, Psychology & Cognitive Sciences, Research
  • Inaugural DSI Faculty for Faculty Research Talk 

    This is an opportunity for faculty to share current data science–related research activities with other faculty colleagues in an informal and interdisciplinary environment. More about this series on our website.

    Please register for this event by Friday, June 26, 8 am. And please note, this presentation/discussion is restricted to faculty members. 

    Roberta DeVito, DSI and Biostatistics

    Reproducibility in the Big-Data Era

    Researchers are facing the urgent challenge of efficiently dealing with a large amount of experimental data. These big and high-throughput data are a rich, complex, and diverse collection of high-dimensional data sets and have the potential to lead to discoveries, advances, and knowledge that were never accessible before via compelling statistical analysis. With these different sources of big-data sets, new statistical analyses that integrate multiple, somewhat diverse studies, are crucial to understand and gain knowledge in high-dimensional statistical research.

    In this talk, I will talk about my research on both theoretical and computational methods for dimension reduction allowing for the joint analysis of multiple high-throughput experiments, simultaneously achieving two goals: a) to capture common component(s) across studies and b) to estimate the specificness that is unique to each study. When considering multiple studies, some measurements reappear across studies, and the true signal is more likely to be reproducible among the studies. However, high throughput experim