These are the slides I have used for my lectures as part of the Fundamentals of Computational Psychiatry Course, organized at ISMMS over the months of October and November 2022
Lecture 5, parameter optimization, where I introduce the concepts of optimizing model parameters to best fit a target behavior. On this matter see also Daw’s “Trial-by-trial data analysis using computational models”
Lecture 7, Bayesian observer, where I introduce the concepts of Bayesian inference and the basic principles of Bayesian models of behavior.
Lecture 8, Bayesian networks, where I introduce the concepts of Bayesian networks and the associated principles of causality.
For both Lecture 7 and 8, I also suggest to read Ma’s “Bayesian models of perception and action” (available to purchase as well as to download for free).