Bayesian Models of Cognition

3 credits · Graduate

This course provides students with hands-on experience with Bayesian models of cognitive science. The course has three parts: (i) probability and Bayesian statistics, (ii) Bayesian models of psychophysics and decision making, and (iii) Bayesian models of higher-level cognition. Students are expected to bring experience in basic statistics and probability, but will be taught the required math in the first part of the course. The bulk of the course applies Bayesian models to understand cognitive and neural processes, with hands-on modeling assignments.