Robert J. and Nancy D. Carney Institute for Brain Science
Building the future of computation
Deciphering cognition
Healing the brain
Inventing the technology of tomorrow
Working to understand and solve Alzheimer’s disease

Advanced systems methods applied to understanding and treating cerebrospinal fluid disorders

Autonomous Empirical Research

BrainGate

Developing novel cognitive and neuroimaging markers of preclinical Alzheimer’s disease

Drug discovery for the prevention and treatment of Alzheimer’s disease

Head-to-head harmonization of tau PET tracers – The HEAD study

Honeycomb: A template for reproducible psychophysiological tasks for clinic, laboratory and home use

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

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

Neuro-Informed Hierarchical Models of Cognition

NeuroDAC: An open-source arbitrary biosignal generator

Neurograins

New biomarkers for neurodegenerative disease

PARRM: Period-based Artifact Reconstruction and Removal Method

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

Rational design of brain stimulation for neurological and psychiatric disorders

Responsive neuromodulation for neuropsychiatric illness

Retinal imaging: The eye as a window to the brain

Risk and Resilience for Alzheimer’s Disease: A 60-year prospective study

SmartPlayroom

SOMA – an app to monitor bodily symptoms

Targeting age-related inflammation to slow Alzheimer’s disease: The LINE-AD study

The causal role of neocortical beta events in human sensory perception

The neural basis of sequence monitoring

U.S. POINTER Trial