About
Jonathan Cohen serves as the Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience at Princeton University's Princeton Neuroscience Institute, where he leads groundbreaking research on the neurobiological foundations of cognitive control and its disruption in psychiatric disorders. His work bridges computational modeling, cognitive science, and clinical neuroscience to unravel how distributed neural systems enable goal-directed behavior.
Education:
- M.D. from the University of Pennsylvania
- Ph.D. from Carnegie Mellon University
Cohen's research centers on cognitive control mechanisms involving prefrontal cortex, anterior cingulate cortex, basal ganglia, and neuromodulatory systems, with direct applications to schizophrenia and depression. His lab develops mechanistically explicit computational models to explain how billions of neurons coordinate purposeful behavior, seeking to establish a theoretical foundation for psychiatric research. This integrative approach combines empirical neuroimaging with rigorous mathematical frameworks to decode the neural basis of executive function.
Analysis of his recent publications (2022-2025) reveals a compelling evolution toward interdisciplinary synthesis, where computational neuroscience increasingly intersects with artificial intelligence. His work now explores emergent symbolic reasoning in neural networks, cerebellar-cortical interactions in neurodevelopmental disorders, and the neural reconfiguration underlying task switching – all while maintaining clinical relevance to mental illness.
Scientific Awards:
- Election to American Academy of Arts and Sciences
- APS William James Award
Cohen mentors graduate students including Younes Strittmatter and directs the Neuroscience of Cognitive Control Lab, which has secured substantial funding such as a $16M Princeton-Rutgers Collaboration Grant for mental illness research. His lab actively investigates how disturbances in brain function manifest as psychiatric symptoms, with recent projects examining cognitive control allocation in depression and neural mechanisms of grief.
The Neuroscience of Cognitive Control Lab employs a multidisciplinary framework combining computational modeling, fMRI, behavioral experiments, and machine learning to dissect the architecture of executive function. Current initiatives explore cerebellar contributions to cognitive aging, abstract reasoning mechanisms, and the development of theoretically grounded interventions for psychiatric disorders through collaborative neuroscience initiatives.
