CPC ZURICH
2023
This course is organized by the Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich and is designed to provide MSc and PhD students, scientists clinicians and anyone interested in Computational Psychiatry with the necessary toolkit to master challenges in computational psychiatry research.
Pre-requisites: Some background knowledge in neuroscience, neuroimaging, (Bayesian) statistics & probability theory, programming and machine learning is expected. If you lack this background, it is recommended that you prepare for this course. Here is a list of helpful (but not mandatory) introductory resources to get you started.
SPEAKERS 2023
| Woo-Young Ahn | Seoul National University, South Korea |
| Michael Breakspear | University of Newcastle, Australia |
| Roshan Cools | Radboud University Medical Center, Netherlands |
| Tore Erdmann | University College London, UK |
| Charlotte Fraza | Donders Institute, Netherlands |
| Herman Galioulline | University of Zurich & ETH Zurich, Switzerland |
| Helene Haker Rössler | University of Zurich & ETH Zurich, Switzerland |
| Jakob Heinzle | University of Zurich & ETH Zurich, Switzerland |
| Stewart Heitmann | Victor Chang, Cardiac Research Institute, Australia |
| Alex Hess | University of Zurich & ETH Zurich, Switzerland |
| Nikola Jajcay | National Institute of Mental Health, Czechia |
| Imre Kertesz | University of Zurich & ETH Zurich, Switzerland |
| Nicolas M. S. Legrand | Aarhus University, Denmark |
| Andre Marquand | Donders Institute, Netherlands |
| Chris Mathys | Aarhus University, Denmark |
| Janaina Mourao-Miranda | Max Planck UCL Centre for Computational Psychiatry and Ageing Research, UK |
| Matthew Nassar | Brown University, USA |
| Thomas Parr | University College London, UK |
| Inês Pereira | University of Zurich & ETH Zurich, Switzerland |
| Frederike Petzschner | Brown University, USA |
| Lionel Rigoux | Max Planck Institute Cologne, Germany |
| Marion Rouault | École Normale Supérieure, France |
| Hannah Savage | Donders Institute, Netherlands |
| Florian Schönleitner | University of Zurich & ETH Zurich, Switzerland |
| Peggy Series | University of Edinburgh, UK |
| Jakob Siemerkus | University of Zurich & ETH Zurich, Switzerland |
| Ryan Smith | Laureate Institute for Brain Research, USA |
| Klaas Enno Stephan | University of Zurich & ETH Zurich, Switzerland |
| Ashley Tyrer | Aarhus University, Denmark |
| Roland von Känel | University Hospital Zurich, Switzerland |
| Thomas Yeo | National University of Singapore, Singapore |
| Marie Zipser | Sanatorium Kilchberg, Switzerland |
| Ariel Zylberberg | University of Rochester, USA |
... and more to be confirmed - stay tuned !
The Computational Psychiatry Course does not receive any sponsoring from industry.
COURSE DETAILS
By contrast, the hands-on practical Tutorials (Day 6) will be held either online or on-site*, that is, they will not accommodate mixed (online & on-site) audiences. Please check the tutorial list below for more information on each tutorial.
*An exception will be Tutorial B, which will be held in a hybrid format for both online and on-site students at the same time.
MAIN COURSE
The 1st day will cover topics in psychiatry providing a conceptual basis for the type of questions that computational psychiatry will need to address.
The 2nd day will explain basic modelling principles (basic mathematical terminology, step-by-step guide on how to build a model, model fitting and model selection) and will finish with a first introduction to models of perception (psychophysics, Bayesian models of perception).
The 3rd day will continue with reinforcement learning, models of perception (predictive coding), an introduction to the HGF (hierarchical Gaussian filter), action selection (Markov decision processes, active inference, drift diffusion models) and will end with an introduction to models of metacognition.
The 4th day will include models of connectivity (dynamic causal modeling for fMRI and EEG, biophysical network models) and machine learning (basics and advanced).
The 5th day will have a conference format and will feature a series of talks on practical applications of computational models to problems from psychiatry.
The detailed schedule will follow shortly here.
TUTORIALS
The practical tutorials on the 6th day will provide 3-hour, small-group, in-depth and hands-on sessions on a specific modelling approach. All practical sessions will use open-source software packages. If you sign up, you will receive an installation guide and further information before the course takes place.
- Tutorial A: Hierarchical Gaussian filter (HGF), using TAPAS
- Tutorial B: Active inference using SPM
- Tutorial C: Reinforcement learning using the hBayesDM Package
- Tutorial D: The drift-diffusion model of decision-making
- Tutorial E: Modelling crash-course using the VBA Toolbox
- Tutorial F: Machine learning tutorial using PCNtoolkit
- Tutorial G: Dynamic causal modelling for EEG using SPM
- Tutorial H: Dynamic causal modelling for fMRI using SPM
- Tutorial I: Modeling metacognition using the hMeta-d toolbox
- Tutorial J: Regression DCM using Tapas
- Tutorial K: Biophysical models: Introduction to the Brain Dynamics Toolbox
More information about the tutorials will follow shortly
The registration is open!
>> Register <<
Please note that spaces are limited and are made available on a first-come first-served basis.
On-site tickets for external attendees:
- CHF 300 for the main course (without tutorials)
- CHF 350 for the main course, incl. 2 practical tutorials on Saturday*
On-site tickets for ETH/UZH members (proof required**):
- CHF 50 for the main course (without tutorials)
- CHF 100 for the main course, incl. 2 practical tutorials on Saturday*
Online tickets cost:
- CHF 50 for the main course (without tutorials)
- CHF 100 for the main course, incl. 2 practical tutorials on Saturday*
*The enrollment for the specific tutorials is done separately and will start soon. If you buy a ticket for both the Main Course and the Tutorials, you will be notified as soon as the registration for the tutorials is open.
**Members of the host institutions (UZH/ETH Zurich) planning to attend on-site: Please contact us BEFORE you register at cpcourse@biomed.ee.ethz.ch.
For this course (available at Bachelor, Master, and PhD levels), students enrolled at ETH and University of Zurich earn 3 ECTS upon successfull completion of this module. The CPC Zurich 2023 main course comprises ca. 50 hours.
Terms and conditions apply.
Recommendations and special deals for accommodation can be found here.
For members of the host institutions (UZH/ ETH Zurich): Please contact us BEFORE you register at cpcourse@biomed.ee.ethz.ch.
The main course will be in a hybrid format:
All lectures during the week (Mon-Fri) will be delivered simultaneously both for an on-site (Zurich) AND an online-audience (Zoom). (*)
By contrast, the hands-on tutorials covering different topics on Saturday will be EITHER online OR on-site (Zurich) (one exception is Tutorial B, which will be hybrid!). There will be ample options for both on-site and online attendees to sign up for 1 morning and 1 afternoon tutorial with the respective location.(**)
The enrolment for the specific tutorials is done separately and will start soon. If you buy a ticket for both the Main Course and the Tutorials, you will be notified as soon as the enrolment for tutorials is open.
(*) When choosing the main course tickets, you will note that some will say [online] and others [in Zurich].
- [in Zurich]: this means attendance in person at Zurich in September 2023.
- [online]: here, you will be part of the online audience where you can attend the course live from anywhere in the world via your computer. Note that times are referring to Central European Time (CEST).
(**) If you decide to book an on-site tutorial, make sure you are in Zurich on Saturday 9th September, as this tutorial will only be held on-site and not online (no hybrid format). For those cases where the tutorial format is not yet defined ("TBA"), it is best that you only book it if you are certain that you can be in Zurich in September.
Please make sure to only book ONE morning and ONE afternoon tutorial. Overbooking is not fair to other participants and causes substantial administrative workload. Any excessive booking may therefore have to be deleted without prior notice. Thank you for your understanding.
If you wish to register multiple attendees, you will need to register one attendee at a time.
ABOUT THE CPC
This course is organized since 2015 by the Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich and is designed to provide students from different fields 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) and from diverse backgrounds (neuroscience, psychology, medicine, engineering, physics, etc.), who would like to apply modeling techniques to study cognition or brain physiology in mental health. The course will teach not only the theory of computational modeling, but also demonstrate open source software in application to example data sets.
The goal of the CPC is to create a space for students, scientists, and clinicians in which they can share and advance the state of knowledge in CP. Everyone is welcome at the CPC. To this end, we encourage all participants to treat each other respectfully. This Code of Conduct defines a set of guidelines to facilitate this.
Pre-requisites: The course is split into several parts. The first day features an introduction to psychiatry and psychosomatic medicine. Days 2 - 4 will cover computational methods in detail. Day 5 presents concrete applications. The final day 6 (to be booked separately) consists of practical tutorials with open-source software. Some background knowledge in statistics and computational methods is needed to master the more technical parts (Day 2-4). If you lack this background, it is recommended that you prepare for this course. Here is a list of helpful (but not mandatory) introductory resources to get you started.
COURSE MATERIAL
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.
CPC TEAM
