Faculty with Computational Neuroscience Research

Michael Frank

I direct the Lab for Neural Computation and Cognition. My work combines computational modeling and experimental work to understand the neural mechanisms underlying reinforcement learning, decision making and working memory. We develop computational models at multiple levels of description, from neural circuit implementations to higher level algorithmic and computational levels, with efforts to link the mechanisms at one level to the higher level computations of the other. We test theoretical predictions of the models using electrophysiology, pharmacology, brain stimulation, and genetics. Link to website

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