Watch this video in which Klaas Enno Stephan gives an introduction to the field of computational psychiatry. He provides a high-level overview of some of the problems in psychiatry and how model-based diagnostic tests can help optimize treatment and predict disease outcome or risk of disorder. The video is part of the Computational Psychiatry course 2019.
Computational Psychiatry aims at describing the relationship between neurobiology, its surrounding and the mental symptoms in the computational terminology. It is known to improve the psychiatric classification and thus diagnostics and treatment of mental illness.
The computational psychiatry course is designed to provide students across fields (neuroscience, psychiatry, physics, biology, psychology) with the necessary toolkit for computational psychiatry research.
The course consists of 29 lectures by renowned international scientists, all of which have been recorded and are freely accessible on the web.
Introduction to Computational Psychiatry
Klaas Enno Stephan
02.09.2019, Autumn 2019
View video here