Title: In Search of Internal Models - Reiss Lecture

Speaker: Adrienne Fairhall, University of Washington

Abstract: How do we build the mental models that we use to perceive, navigate and reason about the world? How might these models be inferred from neural activity? I will describe experiments and analysis in collaboration with Beth Buffalo's lab to explore these questions in our closest relatives, nonhuman primates. In one example, we compare monkey and human behavior in a decision task, and analyze how subjects make use of visual information and feedback to infer a hidden rule, where the rule switches in an uncued fashion. We fit a suite of behavioral models and learn that while humans are close to optimal Bayesian agents, monkey behavior is better fit as reinforcement learning. This allows us to seek neural implementations of this internal belief update. Further, while rodent hippocampus famously encodes the animal's spatial location, we find evidence that hippocampus in the primate serves a more cognitive role.

Zoom: TBA

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