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Jonathan Cohen is a cognitive neuroscientist with decades of research experience focused on computational mathematical modeling and empirical studies of human brain function and behavior. His work examines the neural mechanisms responsible for cognitive control and human intelligence. He seeks to enhance the understanding of cognitive architectures that resemble human-like abilities, bridging insights from neuroscience, psychology, computer science, mathematics, behavioral economics, and psychiatry. Cohen fosters collaborations with investigators across these fields, contributing both theoretical and empirical methodologies to advance the scientific discourse. His extensive bibliography reflects his contributions and the interdisciplinary nature of his research interests.
Princeton Neuroscience Institute • Princeton, NJ
Serves as a leading faculty member and director associated with multiple programs in neuroscience.
Scully Center • Princeton, NJ
Oversees scientific direction and research initiatives at the Scully Center for Neuroscience.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.