Please register here for the Computational Psychiatry Course Zurich 2019.
Registration closes on 23rd of 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
23. 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 between 2-6pm 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-Yung AnhSeoul National University, South Korea
Michael BrowningUniversity of Oxford, UK
Philip CorlettYale School of Medicine, USA
Tore ErdmannScuola Inernazionale Superiore di Studi Avanzati, Italy
Olivia Faull University of Zurich & ETH Zurich, Switzerland
Stephen FlemingUCL London, UK
Stefan FrässleUniversity of Zurich & ETH Zurich, Switzerland
Claire GillanTrinity College Dublin, Ireland
Samuel HarrisonUniversity of Zurich & ETH Zurich, Switzerland
Jakob HeinzleUniversity of Zurich & ETH Zurich, Switzerland
Marcus HerdenerUniversity of Zurich, Switzerland
Sandra IglesiasUniversity of Zurich & ETH Zurich, Switzerland
Roland von KänelUniversity Hospital Zurich, Switzerland
Rebecca LawsonUniversity of Cambridge, UK
Andre MarquandDonders Institute, Netherlands
Christoph MathysScuola Inernazionale Superiore di Studi Avanzati, Italy
Rosalyn MoranUniversity of Bristol, UK
Michael MoutoussisMax Planck UCL Centre London, UK
Thomas ParrUCL London, UK
Gina PaoliniKlinik für Psychiatrie und Psychotherapie, Clienia Schlössli AG Switzerland
Frederike PetzschnerUniversity of Zurich & ETH Zurich, Switzerland
Lionel RigouxMax Planck Institute Cologne, Germany
Dario SchöbiUniversity of Zurich & ETH Zurich, Switzerland
Helen SchmidtUniversity of Zurich & ETH Zurich, Switzerland
Philipp SchwartenbeckUCL London, UK
Jakob SiemerkusUniversity of Zurich & ETH Zurich, Switzerland
Klaas Enno StephanUniversity of Zurich & ETH Zurich, Switzerland
Lilian WeberUniversity of Zurich & ETH Zurich, Switzerland
Thomas WolfersDonders Institute, Netherlands
Yu YaoUniversity of Zurich & ETH Zurich, Switzerland
Ariel ZylberbergColumbia 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