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Kanaka Rajan's research focuses on understanding the brain through the lenses of social neuroscience and computational modeling. By exploring how neural mechanisms process complex social dynamics, his work aims to translate these insights into practical applications for human health and societal cohesion. The Rajan Lab employs mathematical and computational models derived from data collected through neuroscience experiments to design artificial systems that can mimic realistic behaviors, revealing insights about the underlying principles of natural intelligence. The lab is distinguished by its interdisciplinary team of scientists and engineers, dedicated to tackling significant problems in neuroscience. Publications from the lab include studies on recurrent neural networks and reinforcement learning, using experimental data to develop predictive theoretical models about cognitive behaviors, encompassing learning, memory, and decision-making. This commitment to open science emphasizes sharing findings with the broader scientific community, allowing for collaboration across disciplines and advancing the understanding of brain functions.
Administered by the Division of Medical Sciences (DMS). GRE is not required and will not be considered for BBS, Immunology, and Neuroscience.