Daphna Shohamy, Columbia University
Topic: How Memory Guides Value-Based Decisions
Abstract: Learning is central to adaptive behavior. From robots to humans, the ability to learn from experience turns a rigid response system into a flexible, adaptive one. How are decisions shaped by past experience? What are the neural and cognitive mechanisms that allow experiences to change the way we perceive and act in the world? To address these questions, my research takes as a starting point a longstanding idea in cognitive and systems neuroscience: that the brain learns in different ways by using multiple specialized learning systems. Implicit learning of habits is thought to depend on the striatum and its dopaminergic inputs, while explicit memory for specific episodes depends on the hippocampus. Surprisingly, however, despite progress in mapping these different forms of learning to different areas in the brain, the separation of learning into distinct systems leaves open crucial questions about the nature of the interactions between them, the kinds of representations they build, and their role in guiding value-based decisions. I will present evidence for a critical role for memory mechanisms in the hippocampus in biasing value-based decisions, focusing on two distinct mechanisms. The first concerns the integration of information across discrete past events to support generalization of past experience towards novel decisions. The second concerns the retrieval and use of memories for rare, "one shot" events when making decisions about reward. Finally, I will discuss how results emerging from this work challenge the traditional view of learning systems and advance understanding of how memory biases decisions in both adaptive and maladaptive ways.
Reception to follow in room 4043 Sidney Smith Hall, 100 St. George Street.
For further information, please contact Christina Starmans (firstname.lastname@example.org)