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Introduction to Computational Cognitive Science

Psychological & Brain Sciences 4631 - Spring 2021

How does the mind work? Over the last few decades, cognitive psychologists have become increasingly interested in using computational models. These models are designed to describe cognitive processes, and the behavior that is produced by them. This computational approach has several advantages. Computational theories of cognition are more specific than verbal theories. Therefore, they do not only afford precisely quantifying certain aspects of cognition, but they also make it possible to simulate cognitive processes. This course provides an introduction to several leading computational methods for understanding cognition, covering model fitting and comparison, reinforcement learning, neural networks and Bayesian modeling. These methods will be applied to a wide range of cognitive phenomena, such as short-term memory, reinforcement learning, decision making, cognitive control, concept learning and visual perception. PREREQ: Psych 100B AND Psych 301/3011
Course Attributes: FA NSMBU BAAR NSMAS NSM

Section 01

Introduction to Computational Cognitive Science
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