Computational Brain Science

As research strives to understand how the brain computes and stores information, computational neuroscience is increasingly at the core of the inquiry. The growing field employs sophisticated mathematics, theoretical analysis and modeling to understand the function of neural circuits and how circuits generate behavior, whether beneficial or not. A prime area of research at the Carney Institute for Brain Science involves innovative advances in computational neuroscience to address behavior and mood disorders, using understanding of neural circuitry to predict who is most at risk and how best to apply therapies, whether through drugs or devices.

The Carney Institute is a collaborative hub for computational brain scientists who are revolutionizing their field. The institute’s Center for Computational Brain Science leverages existing synergies and establishes shared infrastructure, setting itself as a destination for scientists around the world looking to acquire high-level computational skills.

Research Projects

Autonomous Empirical Research

BRAINSTORM, Computational Brain Science

Brain networks: Inferring cortical microcircuitry with electrophysiology

Computational Brain Science, Neurobiology of Cells & Circuits

A user tests the BrainGate system
BrainGate

Computational Brain Science, Neuroengineering and Neurotechnology

Computational methods for faster, more accurate, and more versatile segmentation software for serial electron-microscopic analysis

Computational Brain Science, Neurobiology of Cells & Circuits, Neuroengineering and Neurotechnology

Human Neocortical Neurosolver for circuit-level interpretation of human MEG/EEG

BRAINSTORM, Cognition and Behavior, Computational Brain Science, Neurobiology of Cells & Circuits

Mechanisms of cognitive interference from value-based choice conflict

Cognition and Behavior, Computational Brain Science

Movement disorders: Rational design of deep brain stimulation with human electrophysiology and computational neural modeling

Cognition and Behavior, Computational Brain Science, Neurobiology of Cells & Circuits, Neuroengineering and Neurotechnology

Neuro-Informed Hierarchical Models of Cognition

BRAINSTORM, Cognition and Behavior, Computational Brain Science

NeuroDAC: An open-source arbitrary biosignal generator

BRAINSTORM, Computational Brain Science, Neuroengineering and Neurotechnology

PARRM: Period-based Artifact Reconstruction and Removal Method

BRAINSTORM, Computational Brain Science, Neuroengineering and Neurotechnology

Precision TMS: Using EEG and machine learning to predict TMS response

BRAINSTORM, Computational Brain Science, Neurobiology of Cells & Circuits

Rational design of brain stimulation for neurological and psychiatric disorders

BRAINSTORM, Cognition and Behavior, Computational Brain Science, Neurobiology of Cells & Circuits

Responsive neuromodulation for neuropsychiatric illness

Computational Brain Science, Neuroengineering and Neurotechnology

SmartPlayroom

Cognition and Behavior, Computational Brain Science

SOMA – A novel user-centric technology to tackle chronic pain

BRAINSTORM, Cognition and Behavior, Computational Brain Science

The causal role of neocortical beta events in human sensory perception

Cognition and Behavior, Computational Brain Science

The neural basis of sequence monitoring

Cognition and Behavior, Computational Brain Science