Professor of Neuroscience
Princeton Neuroscience Institute
Title: Learning across dimensions and timescale scales
Abstract: The major reasons that learning is challenging is that there can be a delay between an event and its outcome, and the world is high dimensional, which means that there are many possible events that could potentially be attributed to any outcome. How does the brain overcome these challenges? In the first part of my talk, I will discuss how reactivation of relevant activity patterns contributes to learning to associate food with outcomes in the case of very long delays. In the second part of my talk, I will talk about how the dopamine system is organized to support learning in a high dimensional environment.