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.

Samuel Gershman received his B.A. in Neuroscience and Behavior from Columbia University in 2007 and his Ph.D. in Psychology and Neuroscience from Princeton University in 2013. From 2013-2015 he was a postdoctoral fellow in the Department of Brain and Cognitive Sciences at MIT.

Research interests: Learning, memory, decision making, computational neuroscience.