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Samuel Gershman
Associate Professor
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The Gershman lab's research aims to understand how richly structured knowledge about the environment is acquired, and how this knowledge aids adaptive behavior. The lab uses a combination of behavioral, neuroimaging and computational techniques to pursue these questions.
Research interests: Learning, memory, decision making, computational neuroscience.
Research interests: Learning, memory, decision making, computational neuroscience.
Papers163 papers
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PLoS computational biology, no. 2 (2021): 1-19
Cogn. Sci., no. 1 (2021)
Psychological review, no. 3 (2020): 327-361
Nature Communications, no. 1 (2020): 3497
Micah B Goldwater,Samuel J Gershman, Caroline Moul, Charles Ludowici, Amy Burton, Brittany Killer, Rebecca-Lee Kuhnert, Kate Ridgway
Developmental science, (2020)
NPJ science of learning, (2020): 16
Cognitive Psychology, (2020): 101261-75
Learning & behavior, pp.1-3, (2020)
Cognition, (2020): 104394-14
Current Biology, no. 11 (2020): R629-R632
eLife, (2020): 1-38
Proceedings of the National Academy of Sciences of the United States of America, no. 23 (2020): 12750-12755
eLife, (2020)
Psychological review, no. 3 (2020): 412-441
Nature communications, no. 1 (2020): 2371
PLoS computational biology, no. 4 (2020)
national conference on artificial intelligence, no. 1 (2019): 59-67
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