Neural Computation in Learning and Decision-Making

Catalog description

Your brain is constantly making decisions, receiving feedback about those decisions, and learning from that feedback. In this course we will examine the neuroscience underlying these processes from a computational perspective. The course will involve reading scientific papers from cognitive neuroscience, building and testing the computational models that have been developed to synthesize this literature, and, as a final project, extending an existing model of learning or decision making and characterizing its behavior. A primary goal for the course is to develop the tools and motivation to translate verbal theories of behavior into formal and testable computational models. DO NOT REQUEST AN OVERRIDE FOR THIS COURSE. Please see the Class Notes section on how to gain enrollment into this course.