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Jonathan Cohen is a cognitive neuroscientist with decades of research experience in computational and mathematical modeling as well as empirical studies of human brain function and behavior. His research focuses on the neural mechanisms responsible for cognitive control and human intelligence, leveraging his growing understanding to aid in the design of computational architectures capable of human-like cognitive capabilities. His work lies at the intersection of neuroscience, psychology, computer science, mathematics, behavioral economics, and psychiatry, involving collaborative efforts with investigators across these diverse fields. His theoretical, empirical, and methodological contributions are evident in the publications he has shared, reflecting a commitment to advancing knowledge in his area of expertise.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.