REGISTRATION
Welcome to the registration for the Computational Psychiatry Course 2021!
Volatile times require flexible decision making: Due to the rapid rise of the Delta variant of the coronavirus in Switzerland and many other countries we have decided that we will conduct the CPC Zurich 2021 in a fully virtual instead of a hybrid format. This was not an easy decision to take, but assures the safety for everyone involved and reduced the uncertainty for our speakers and attendees.
The CP Course offers a main course with lectures and talks plus practical tutorials on the last day of the course.
You can attend max. two Tutorials, one in the morning and one afternoon. If you would like to register for the tutorials please send us an email so that we can give you access to the tickets (cpcourse (at) biomed.ee.ethz.ch).
The main course ticket costs CHF 30, the tutorials cost an additional CHF 20.
Members of the host institutions (UZH and ETH Zurich) will receive a special access code, which will allow them to book the course free of charge. Please contact us and provide us with your Legi Number (UZH/ETH ID card number) in order to get your access code (cpcourse [at] biomed.ee.ethz.ch).
Information regarding refunds: Terms and Conditions
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ABOUT THE CPC ZURICH
This course is organized 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 Zurich 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.
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.
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The CPC is divided into two parts:
The main course (Day 1-5) and in-depth practical tutorials (Day 6), which can only be attended in person on site.
MAIN COURSE
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 fitting and model selection) and will finish with a first introduction to models of perception (Psychophysics, Bayesian Models of Perception).
The third day will continue with reinforcement learning, models of perception (Predicitve Coding), action selection (Markov Decision Processes, Active Inference, Drift Diffusion Models) and will end with an introduction to models of metacognition
The fourth day will include models of connectivity (Dynamic Causal Modeling for fMRI and EEG and biophysical network models) and Machine Learning (basics and advanced).
The fifth day will feature a series of talks on practical applications of computational models to problems from psychiatry.
More information about the program will follow shortly, see our website for details.
PRACTICAL TUTORIALS
The practical tutorials on the sixth day will provide 3-hour, small-group, in-depth and hands-on sessions on a specific modelling approach. Tutorials will take place on-site and will not be available to an online audience. 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.