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.
Lecture slides and exercise sheets will be distributed via moodle. Solutions to the exercises are due at 2pm on the day of the exercise. Please hand-in your solutions via moodle.
For the project you may work in groups of up to 3 students. Each group is expected to prepare a presentation of its project and hand in a report. Detailed information will be given in the first lecture and on moodle.
If you have questions concerning the lecture or exercise, you can contact the TAs via moodle.
For further information, please consult the course catalogue.
Lectures take place on Tuesdays from 9:15am to 12:00pm (Zoom link to be announced via moodle). Exercises take place on Fridays from 2:15pm to 4:00pm (Zoom link to be announced via moodle).