Computational Psychiatry Course Zurich 2022

Monday, 12 September 2022 8:00 AM - Saturday, 17 September 2022 5:00 PM [CET]

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Main Course [in Zurich] + Tutorials Partial Approval - CHF400.00

Sales end on 31/08/2022

Main Course only [in Zurich] Partial Approval - CHF350.00

Sales end on 31/08/2022

Main Course [online] + Tutorials Partial Approval - CHF100.00

Sales end on 31/08/2022

Main Course only [online] Partial Approval - CHF50.00

Sales end on 31/08/2022

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Monday, 12 September 2022 8:00 AM - Saturday, 17 September 2022 5:00 PM [CET]

IMPORTANT INFORMATION (PLEASE READ EVERYTHING CAREFULLY!)

  • This year, we are planning to organize a hybrid version of the course (if the situation permits). Specifically, lectures during the week will be held for an on-site & online audience, while the hands-on tutorials on Saturday will be given either online or in Zurich. 
  • If you are a member of one of the host institutions (UZH and ETH Zurich), you can register for free. Please send us an email before you register so that we can give you special access.  
  • If you register multiple attendees, you will need to register one attendee at a time.
  • When choosing the main course tickets, you will note that some will say [online] and others [in Zurich]
    •  [in Zurich] : this means you will be able to attend the event in person and therefore should prepare to be in Zurich in September 2022
    • [online]: here, you will be part of the online audience and can attend the main course from anywhere in the world via your computer (you will be provided with access links in due time)
  • Some practical tutorials will be held on site (in Zurich) while others will be held online. If you decide to book an on-site tutorial, make sure you plan to be in Zurich on Saturday 17th September. In the event that the tutorial format is not defined ("TBA"), it is best that you only book it if you can be in Zurich in September.
  • For practical tutorials that have morning and afternoon sessions: these sessions will cover exactly the same content.

 If you have any questions, do not hesitate to contact us!

Translational Neuromodeling Unit

Translational Neuromodeling Unit, Universität Zürich & ETH Zürich

Contact the Organizer View other events

08:15 AM

Tutorial A - Bayesian Learning using the Hierarchical Gaussian Filter (HGF, TNU TAPAS)

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial C - Active Inference using the PYMDP Toolbox

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial D - Reinforcement Learning using the hBayesDM Package

08:15 AM - 11:45 AMonline

Tutoria F - Modelling Crash-Course using the VBA Toolbox

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial G - Machine Learning Tutorial using the PCNtoolkit

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial H - Dynamic Causal Modelling for EEG using the SPM-DCM Package

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial I - Dynamic Causal Modelling for fMRI using the SPM-DCM Package

08:15 AM - 11:45 AMZurich, Switzerland

Tutorial J - Modeling metacognition using the hMeta-d Toolbox

08:15 AM - 11:45 AMonline

Tutorial K - Advanced Models of Connectivity: regression DCM using the Tapas rDCM toolbox

08:15 AM - 11:45 AMZurich, Switzerland
01:30 PM

Tutorial A - Bayesian Learning using the Hierarchical Gaussian Filter (HGF, TNU TAPAS)

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial B - Active Inference using SPM

01:30 PM - 05:00 PMonline

Tutorial C - Active Inference using the PYMDP Toolbox

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial D - Reinforcement Learning using the hBayesDM Package

01:30 PM - 05:00 PMonline

Tutorial E - The Drift-diffusion model of decision-making

01:30 PM - 05:00 PMonline

Tutorial F - Modelling Crash-Course using the VBA Toolbox

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial G - Machine Learning Tutorial using the PCNtoolkit

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial H - Dynamic Causal Modelling for EEG using the SPM-DCM Package

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial I - Dynamic Causal Modelling for fMRI using the SPM-DCM Package

01:30 PM - 05:00 PMZurich, Switzerland

Tutorial J - Modeling metacognition using the hMeta-d Toolbox

01:30 PM - 05:00 PMonline

Tutorial K - Advanced Models of Connectivity: regression DCM using the Tapas rDCM toolbox

01:30 PM - 05:00 PMonline

Tutorial L - Biophysical Network Models

01:30 PM - 05:00 PMonline
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