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

Registration Start
February 2019

Registration Ends
August 2019

Designed For

Master Students, PhDs, PostDocs, Clinicians and anyone interested in Computational Psychiatry

3 ECTS for University of Zurich & ETH students
Please do not forget to register for this course on ETH MyStudies or the UZH course catalogue in addition to registering here.

Perfomance Assessment:
   Short oral examination on 20.09.2019 at the TNU.

Course Fee
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.

Woo-Young Ahn Seoul National University, South Korea
Dominik Bach University of Zurich, Switzerland
Michael Browning University of Oxford, UK
Philip Corlett Yale School of Medicine, USA
Tore Erdmann SISSA, Italy
Olivia Faull University of Zurich & ETH Zurich, Switzerland
Stephen Fleming UCL London, UK
Stefan Frässle University of Zurich & ETH Zurich, Switzerland
Claire Gillan Trinity College Dublin, Ireland
Sam Harrison University of Zurich & ETH Zurich, Switzerland
Jakob Heinzle University of Zurich & ETH Zurich, Switzerland
Marcus Herdener University of Zurich, Switzerland
Roland von Känel University of Hospital Zurich, Switzerland
Andre Marquand Donders Institute, Netherlands
Christoph Mathys SISSA, Italy
Michael Moutoussis Max Planck UCL Centre London, UK
Thomas Parr UCL London, UK
Martin Paulus Laureate Institute Tulsa, USA
Frederike Petzschner University of Zurich & ETH Zurich, Switzerland
Lionel Rigoux Max Planck Institute Cologne, Germany
Dario Schöbi University of Zurich & ETH Zurich, Switzerland
Helen Schmidt University of Zurich & ETH Zurich, Switzerland
Philipp Schwartenbeck UCL London, UK
Jakob Siemerkus University of Zurich & ETH Zurich, Switzerland
Klaas Enno Stephan University of Zurich & ETH Zurich, Switzerland
Wesley Thompson University of San Diego, USA
Lilian Weber University of Zurich & ETH Zurich, Switzerland
Thomas Wolfers Donders Institute, Netherlands
Yu Yao University of Zurich & ETH Zurich, Switzerland
Ariel Zylberberg Columbia University New York, USA

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.

Dr. Frederike Petzschner


Prof. Klaas Enno Stephan


Katharina Wellstein

Contact Person

Nicole Zahnd

Contact Person

Heidi Brunner