Past Events

  • Sep
    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.

    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.

    Biology, Medicine, Public Health, Graduate School, Postgraduate Education, Identity, Culture, Inclusion, Research, Social Sciences
  • “The processing of shape-motion associations in inferior temporal cortex”
    Biology, Medicine, Public Health, Research
  • Sep
    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.

    Computing, HPC, Research

    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




    Josef Anrather, V.M.D.

    Professor, Feil Family Brain and Mind Research Institute

    Weill Cornell Medicine


    September 24, 2020 at 4:00pm

    Zoom link:

    Passcode: 180409


    Organized by the Brown University Center for Translational Neuroscience


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

    Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Sep

    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
    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.

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

    Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • 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!

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


    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.

    Academic Calendar, University Dates & Events, Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences

    Center for Translational Neuroscience Seminar Series


    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.

    Biology, Medicine, Public Health, CTN, Graduate School, Postgraduate Education, Research
  • Sep

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

    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
  • Sep
    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.

    Carney Institute for Brain Science, Neuroscience
  • Sep
    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.

    Computing, HPC, Research
  • Structural Homeostasis in Dendrite

    Biology, Medicine, Public Health, Psychology & Cognitive Sciences
  • Sep

    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
    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.

    Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • 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 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  .

  • Sep

    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

    Computing, HPC, Research
  • 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!

  • Sep
    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

    Academic Calendar, University Dates & Events, Psychology & Cognitive Sciences
  • Sep
    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 to CLPS 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.

    Carney Institute for Brain Science, Neuroscience, Psychology & Cognitive Sciences
  • Sep
    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.

    Computing, HPC, Research
  • Data Visualization of Social Networks

    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.

    Education, Teaching, Instruction, Social Sciences
  • 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:
    September 9, 2020
    Join Zoom Meeting:
    Meeting ID: 988 5893 1922

    Password: dphb

    Biology, Medicine, Public Health, Physical & Earth Sciences, Psychology & Cognitive Sciences
  • Sep
    4:00pm - 6:00pm

    Brown 2020 PAARF

    Brown 2020 PAARF



    Max Petersen

    Dubielecka-Szczerba Lab

    Proximity Dependent Labeling to Characterize Abi-1 in Aging, Inflammation and Bone Marrow Failure.



    Alexandra D’Ordine

    Jogl and Sedivy Labs

    Characterization of the LINE-1 retrotransposon endonuclease domain to target age-associated disease.



    Join Zoom Meeting


    Meeting ID: 813 8464 3560 Passcode: 4Jt8SK


  • Sep
    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.

    Computing, HPC, Research
  • 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:

    September 2, 2020

    Join Zoom Meeting:
    Meeting ID: 947 2200 5986

    Password: dphb

    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.

  • 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