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Sep

10

Montag

Computational Psychiatry Course 2018

Computational Psychiatry Course 2018 ETH Main Building Tickets
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ETH Main Building, CH

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.
You can find detailed information on our website or follow us on twitter and facebook.

 

 

STRUCTURE

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

...

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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.
You can find detailed information on our website or follow us on twitter and facebook.

 

 

STRUCTURE

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 principlesBayesian 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.

OPTIONAL: The fifth day 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!!!  You can only book ONE morning session and ONE afternoon session. Practical sessions can only be booked in combination with the main course. Bring your own Laptop.

Parallel Morning Sessions:

Parallel Afternoon Sessions:

 

 

SPEAKERS

Rick Adams, UCL, London

Woo-Young Ahn, Seoul National University, South Korea

Eduardo Aponte, University of Zurich & ETH Zurich, Zurich, Switzerland

Dominik Bach, University of Zurich, Zurich, Switzerland

Adam Checkroud, Spring Health, New York, USA

Jean Daunizeau, Brain and Spine Institute, ICM, Paris, France

Andreea Diaconescu, University of Basel, Basel, Switzerland

Tore Erdmann, SISSA, Trieste, Italy

Stephen Fleming, UCL London, UK

Stefan Frässle, University of Zurich & ETH Zurich, Zurich, Switzerland

Helene Haker-Rössler, University of Zurich & ETH Zurich, Zurich, Switzerland

Jakob Heinzle, University of Zurich & ETH Zurich, Zurich, Switzerland

Marcus Herdener, University of Zurich, Zurich, Switzerland

Roland von Känel, University of Zurich, Zurich, Switzerland

Christoph Mathys, SISSA, Trieste, Italy

Andre Marquand, Donders Institute, Nijmegen, Netherlands

Read Montague, Virginia Tech, USA

Hanneke den Ouden, Radboud University, Netherlands

Martin Paulus, Laureate Institute, Tulsa, USA

Frederike Petzschner, University of Zurich & ETH Zurich, Zurich, Switzerland

Rafael Polania, ETH Zurich, Zurich, Switzerland

David Redish, University of Minnesota, USA

Lionel Rigoux, Max Planck Institute for Metabolism Research, Cologne, Germany

Dario Schöbi, University of Zurich & ETH Zurich, Zurich, Switzerland

Philipp Schwartenbeck, UCL, London & Oxford University, UK

Klaas Enno Stephan, University of Zurich & ETH Zurich, Zurich, Switzerland

Peter Stern, Science Magazine, Washington DC, USA

Valerie Voon, University of Cambridge, UK

Lilian Weber, University of Zurich & ETH Zurich, Zurich, Switzerland

Jean Zarate, Nature Neuroscience, New York, USA

 

 

CONTACT

Translational Neuromodeling Unit
University & ETH Zurich

Mail: cpcourse@biomed.ee.ethz.ch

 

 

ORGANIZER
Klaas Enno Stephan
Frederike Petzschner
Administration: Heidi Brunner
Contact: Nicole ZahndGina Paolini

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Veranstalter

Universität Zürich

Tickets

Verkauf endet am Montag, 10.09.2018 08:00

Main Course (10.09. - 13.09.)

CHF 500.00

students of ETH & UZH (10.09. - 13.09.)

CHF 0.00

Practical Session A (14.09. morning) - Bayesian Learning using the HGF (can not be booked in combination with session B!)

Nur noch 2 Tickets verfügbar
CHF 50.00

Practical Session B (14.09. morning) - Active Inference (can not be booked in combination with session A!)

Nur noch 2 Tickets verfügbar
CHF 50.00

Practical Session C (14.09. afternoon) - Model Inversion using Variational Bayes (can not be booked in combination with session D!)

Nur noch 3 Tickets verfügbar
CHF 50.00

Practical Session D (14.09. afternoon) - Reinforcement Learning (can not be booked in combination with session C!)

Nur noch 3 Tickets verfügbar
CHF 50.00

Free Walking Tour Zurich

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Lunch Lottery on Tuesday

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Infos

Ort:

ETH Main Building, CH

Links zum Event

Veranstalter

Computational Psychiatry Course 2018 wird organisiert durch:

Universität Zürich

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