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Sep

10

Montag

Computational Psychiatry Course 2018

Computational Psychiatry Course 2018 ETH Main Building Tickets
Beginn:
Ende:
ETH Main Building,

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

David Redish, University of Minnesota, USA

Read Montague, Virginia Tech, USA

Rick Adams, UCL, London

Hanneke den Ouden, Radboud University, Netherlands

Klaas Enno Stephan, University of Zurich & ETH, Zurich

Valerie Voon, Cambridge, UK

Marcus Herdener, UZH, Zurich

Andre Marquand, Donders, Nijmegen

Dominik Bach, University of Zurich, Zurich

Martin Paulus, Laureate Institute, Tulsa, USA

Helene Haker, University of Zurich & ETH, Zurich

Frederike Petzschner, University of Zurich & ETH, Zurich

Stephen Fleming, UCL, London

Lilian Weber, University of Zurich & ETH, Zurich

Christoph Mathys, SISSA, Trieste

Rafael Polania, ETH, Zurich

Lionel Rigoux, MPI, Cologne

Woo-Young Ahn, Seoul National University

Philipp Schwartenbeck, UCL & Oxford University

Jakob Heinzle, University of Zurich & ETH, Zurich

Dario Schöbi, University of Zurich & ETH, Zurich

Andreea Diaconescu, University of Basel, Basel

Adam Checkroud, Spring Health, New York

Jean Daunizeau, Brain and Spine Institute, ICM, Paris

Tore Erdmann, SISSA, Trieste

Stefan Frässle, University of Zurich & ETH, Zurich

... and more 

 

 

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!)

CHF 50.00

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

CHF 50.00

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

CHF 50.00

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

CHF 50.00

Free Walking Tour Zurich

CHF 0.00

Lunch Lottery on Tuesday

CHF 0.00
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Infos

Ort:

ETH Main Building,

Links zum Event

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Computational Psychiatry Course 2018 wird organisiert durch:

Universität Zürich

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