Translational Neuromodeling


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

Lectures take place on Tuesdays 9:15am to 12:00pm in HG F26.3 (ETH main building). Exercises take place on Fridays 2:15pm to 4:00pm in ETZ E6. Lecture slides and exercise sheets will be published here. To download the slides, please use the password distributed during the first lecture.

Date Lecture Date Exercise
02/19 Introduction to Translational Neuromodeling & Computational Psychiatry (slides) 02/22 No exercise
02/26 Psychiatric nosology and pathophysiology (slides) 03/01 Basics of statistical modeling (slides)
03/05 Generative models and principles of Bayesian inference (slides) 03/08 No exercise
03/12 Variational Bayes (VB) (slides) 03/15 Exercise 1: Bayesian inference
03/19 Bayesian model selection (slides) 03/22 Exercise 2: Variational Bayes
03/26 Markov Chain Monte Carlo (MCMC) (slides)   03/29 Exercise 3: BMS (DCMs)
04/02 A Bayesian framework for understanding psychiatric and psychosomatic diseases (slides) 04/05 Exercise 4: Monte Carlo (useful functions
04/09 Generative models of behavioural data: HGF and Predictive Coding (slides) 04/12 Exercise 5: HGF (for this week's exercise you will need TAPAS)
04/16 Generative models of fMRI data: DCM (slides) 04/19 No exercise (Easter week)
04/23 No lectures (Easter week) 04/26 No exercise (Easter week)
04/30 Generative models of EEG data: DCM 05/03 Exercise 6: DCM for fMRI
05/07 Computational concepts of schizophrenia, autism, and depression 05/10 Exercise 7: DCM for EEG
05/14 Clinical neuromodeling: Model-based predictions about individual patients 05/17 Project work (No presence required)
05/21 Project work (No presence required) 05/24 Project work (No presence required)
05/28 Project work (No presence required) 05/31 Project presentations (2pm - 6pm))

Additional Information

If you have questions concerning the lecture or exercise, you can contact the TAs via email: tnu-teaching(at)

For further information, please consult the course catalogue.