Probabilistic Models of Perception and Cognition

(Cross-listed as a 100-level course.) Bayesian- and non-Bayesian models of human behavior and neuronal mechanisms underlying perception and cognition. Modeling techniques including simulations, model fitting, and model evaluation. Modeling as a scientific tool. Basic coding skills required. Typically offered every 2-3 years.