Translational Neuromodeling
Summary
This course provides a systematic introduction to Translational Neuromodeling (the development of mathematical models for diagnostics of brain diseases) and their application to concrete clinical questions (Computational Psychiatry/Psychosomatics). It focuses on a generative modeling strategy and discusses (hierarchical) Bayesian models of neuroimaging data and behaviour in detail.
Lectures and Exercises
The slides, exercises and solutions will be published here. To download the slides, please use the password distributed during the first lecture.
Date | Lecture | Exercise | Solution |
---|---|---|---|
02/23 | Introduction to Translational Neuromodeling & Computational Psychiatry (slides) | Psychiatric nosology and pathophysiology (slides) | |
03/02 | Generative models and principles of Bayesian inference (slides) | exercise sheet 1 | solution to exercise 1: sheet and code |
03/09 | Variational Bayes (VB) (slides) | exercise sheet 2 | solution to exercise 2: sheet and code |
03/16 | Bayesian model selection (slides) | exercise sheet 3 and DCMs | |
03/23 | Markov Chain Monte Carlo (MCMC) (slides) | exercise sheet 4 and code | solution to exercise 4: sheet and code |
03/30 | No lectures (Easter week) | ||
04/06 | No lectures (Easter week) | ||
04/13 | A Bayesian framework for understanding psychiatric and psychosomatic diseases (slides) | no exercise this week | |
04/20 | Generative models of fMRI data: DCM (slides) | exercise sheet 5 and code (for this week's exercise you will need the SPM software) | solution to exercise 5: sheet and code |
04/27 | Generative models of EEG data: DCM (slides) | exercise sheet 6 and code (download SPM) | solutions to exercise 6: sheet |
05/04 | Generative models of behavioural data: HGF and Predictive Coding (slides) | exercise sheet 7 (for this week's exercise you will need TAPAS) | solutions to exercise 7: sheet and code |
05/11 | Computational concepts of schizophrenia, autism, and depression (slides) | Project work | |
05/18 | Clinical neuromodeling: Model-based predictions about individual patients (slides) | Project work | |
05/25 | Project work | Project work | |
06/01 | Project presentations | Project presentations |
Additional Information
If you have questions concerning the lecture or exercise, you can contact the TAs via email: tnu-teaching(at)biomed.ee.ethz.ch.
For further information, please consult the course catalogue.