2018
About

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 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.

Details

Schedule

TNU

Location

Social

CourseDetails

Duration
4 days + 1 day (Practical Sessions)

Date
10th – 14th September 2018

Registration Start
February 2018

Registration Ends
August 2018

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

ECTS Points
3 (only for members of the University of Zurich and ETH)

Course Fee
500 CHF for the main course
(free for students of the ETH and University of Zurich)
50 CHF per Practical Session

Requirements
Basic programming skills
(e.g. Matlab or Python)
Basic knowledge of statistics

CourseStructure
Psychiatry
Baysian Inference & Machine Learning & Drift-Diffusion Model
Models of Planning & Biophysical Models & Model Inversion
Computational Psychiatry Applied
Practical Tutorials


The course will consist of five parts:

The first day covers topics in Clinical Psychiatry providing a conceptual basis for the type of questions that Computational Psychiatry will need to address, including an open panel discussions led by scientists with a clinical background in Psychiatry.

The second day explains basic modelling principles, Bayesian Inference (Bayesian Models of Perception, Bayesian Hierarchical Learning, Predictive Coding), Machine Learning & the Drift-Diffusion Model

The third day includes models of planning and decision making (MDPs, POMDPs, Reinforcement Learning, Active Inference), Biophysical Models (DCMs) and more advanced model inversion techniques (model selection, model averaging, MCMC, Variational Bayes)

The fourth day features a series of talks by leading scientists on the applications of Computational Psychiatry, including a panel discussion on the future of Computational Psychiatry.

The fifth day is optional and includes hands-on practical programming sessions for a subset of the presented models (IMPORTANT NOTICE: Seats for the practical sessions need to be booked separately and are limited!!!)

Speakers 2018
 
Rick
Woo-Young
Eduardo
Dominik
Adam
Jean
Andreea
Tore
Stephen
Stefan
Helene
Jakob
Marcus
Roland
Christoph
Andre
Read
Hanneke
Martin
Frederike
Rafael
David
Lionel
Dario
Philipp
Klaas
Peter
Valerie
Lilian
Jean
Adams
Ahn
Aponte
Bach
Chekroud
Daunizeau
Diaconescu
Erdmann
Fleming
Frässle
Haker-Rössler
Heinzle
Herdener
von Känel
Mathys
Marquand
Montague
den Ouden
Paulus
Petzschner
Polania
Redish
Rigoux
Schöbi
Schwartenbeck
Enno Stephan
Stern
Voon
Weber
Zarate
UCL, London
Seoul National University, South Korea
University of Zurich & ETH Zurich, Zurich, Switzerland
University of Zurich, Zurich, Switzerland
Spring Health, New York, USA
Brain and Spine Institute, ICM, Paris, France
University of Basel, Basel, Switzerland
SISSA, Trieste, Italy
UCL London, UK
University of Zurich & ETH Zurich, Zurich, Switzerland
University of Zurich & ETH Zurich, Zurich, Switzerland
University of Zurich & ETH Zurich, Zurich, Switzerland
University of Zurich, Zurich, Switzerland
University of Zurich, Zurich, Switzerland
SISSA, Trieste, Italy
Donders Institute, Nijmegen, Netherlands
Virginia Tech, USA
Radboud University, Netherlands
Laureate Institute, Tulsa, USA
University of Zurich & ETH Zurich, Zurich, Switzerland
ETH Zurich, Zurich, Switzerland
University of Minnesota, USA
Max Planck Institute, Cologne, Germany
University of Zurich & ETH Zurich, Zurich, Switzerland
UCL, London & Oxford University, UK
University of Zurich & ETH Zurich, Zurich, Switzerland
Science Magazine, Washington DC, USA
University of Cambridge, UK
University of Zurich & ETH Zurich, Zurich, Switzerland
Nature Neuroscience, New York, USA
Registration

Thank you for your interest!

CourseMaterial

Software

Video

Slides

Reading

Team
Dr. Frederike Petzschner

Organizer

Prof. Klaas Enno Stephan

Organizer

 
Heidi Brunner

Administration

Nicole Zahnd

Contact Person