Please register here for the Computational Psychiatry Course Zurich 2019.
Registration closes in August 2019. Note that spaces are limited, first come first serve.
This course is designed to provide students across fields (neuroscience, psychiatry, physics, biology, psychology....) with the necessary toolkit to master challenges in computational psychiatry research.
The CPC Zurich is meant to be practically useful for students at all levels (MDs, Master, PhD, Postdoc, PI) coming from diverse backgrounds (neuroscience, psychology, medicine, engineering, physics, etc.), who would like to apply modeling techniques to study learning, decision-making or brain physiology in patients with psychiatric disorders. The course will teach not only the theory of computational modeling, but also demonstrate software in application to example data sets.
We strongly believe in open source and open science, therefore, the content of the course will be made freely accessible on the web.
4 days + 1 day (Practical Tutorials)
2nd – 6th September 2019
Master Students, PhDs, PostDocs, Clinicians and anyone interested in Computational Psychiatry
3 (only for University of Zurich and ETH students)
Note that you will have to register in ETH MyStudies / UZH course catalogue in addition to registering here.
The course will be part of the HS2019 and is not yet available in course catalogues.
Main Course (day 1-4):
CHF 500 for external participants
CHF 100 for University of Zurich & ETH students & scientists
Practical Tutorials (day 5):
CHF 50 per Practical Tutorial Session for external as well as for University of Zurich & ETH students & scientists
The CPC is divided into two parts: The main course (day 1-4) and in-depth practical tutorials (day 5).
The first day will cover topics in Psychiatry providing a conceptual basis for the type of questions that Computational Psychiatry will need to address.
The second day will explain basic modelling principles (basic mathematical terminology, step-by-step guide on how to build a model, model inversion), models of perception (Psychophysics, Bayesian Models of Perception, Predictive Coding) and models of learning (Bayesian learning, Reinforcement Learning).
The third day will include models of decision making (Active Inference, Drift-Diffusion model), Biophysical Models (Dynamic Causal Models, advanced models of connectivity) and Machine Learning.
The fourth day will feature a series of talks on practical applications of computational models to problems from psychiatry.
The practical tutorials on the fifth day will provide 3-hour, small-group, in-depth and hands-on sessions on a specific modelling approach. To get the most out of the tutorial, students are advised to bring their own laptops along. The practical sessions cover only open-source software packages. The code can be found under the respective links below.
Course material will be available closely to the course date.
The Translational Neuromodeling Unit (TNU) has been organizing the Computational Psychiatry Course in Zurich since 2015. All materials from previous courses can be found here.