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Jack Gallant is a Professor in the Department of Psychology at the University of California, Berkeley. His research focuses on understanding how the mammalian cerebral cortex processes information. Gallant's laboratory employs techniques such as functional magnetic resonance imaging (fMRI) to explore the principles of brain computation and the representation of information pertaining to the world and mental states. His work aims to uncover how information is represented in cortical areas and the connections between local circuits in the brain, which can lead to advancements in neurological evaluations, diagnoses, and developing therapies for brain repair. The laboratory makes extensive use of system identification approaches, which involve gathering data under varied conditions, such as when subjects watch movies or listen to sounds. The resulting computational models, referred to as encoding models, accurately predict brain activity and facilitate the understanding of cognitive functions and the creation of brain-machine interfaces.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.