The Computational Psychiatry Course in Zurich moves into its second round. The five-day course (29th August – 2nd September) will provide an overview of state-of-the-art modelling techniques for computational psychiatry and discuss pressing questions in the field.
The course is structured in three parts:
- Day 1 is dedicated to psychiatric disorders and the need for computational models to address open questions in the field.
- Day 2-4 cover basic to more advanced modelling techniques including Bayesian Model Selection, Machine Learning Techniques, Reinforcement Learning, Drift-Diffusion Modeling, Dynamic Causal Modeling, Bayesian Models for Perception, Predictive Coding and more.
- Day 5 will demonstrate applications of these models in computational psychiatry.
The course is meant to be practically useful for students and scientists who would like to apply modelling techniques to study learning, decision-making and brain physiology in patients with psychiatric disorders. It It will not only teach the theory of computational modeling, but also demonstrate open source
software in its application to example data sets.
Registration is open now: http://www.translationalneuromodeling.org/cpcourse/