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Corticostriatal computations in learning and choice 

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Air date: Monday, December 16, 2019, 12:00:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 143 (32 Live, 111 On-demand)
Category: Neuroscience
Runtime: 01:07:07
Description: NIH Neuroscience Series Seminar

Dr. Frank lab's research combines multiple levels of computational modeling and experimental work to understand the neural mechanisms underlying reinforcement learning, decision making and cognitive control. They develop neural circuit and algorithmic models that simulate systems-level interactions between multiple brain areas (primarily prefrontal cortex and basal ganglia and their modulation by dopamine). They test theoretical predictions of the models using various neuropsychological, pharmacological, genetic, and imaging (primarily EEG) techniques.

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Author: Michael Frank, Ph.D., Brown University
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CIT Live ID: 35372
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