227-0971-00L  Computational Psychiatry

SemesterSpring Semester 2015
LecturersK. Stephan
Periodicityevery semester recurring course
Language of instructionEnglish


AbstractCurrent methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients. The key goal is to connect methodological training with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases.
ObjectiveTo understand current concepts about computational and physiological mechanisms of maladaptive behaviour and psychiatric diseases.
ContentIn this seminar, we discuss current methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients. The key goal is to connect methodological training (in computational and statistical techniques for analyzing behavioural, fMRI and EEG data) with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases. This seminar aims at bridging the gap between mathematical modelers and clinical neuroscientists, enabling more effective communication and joint translational research. To this end, each semester a novel topic is chosen which is examined both from clinical/biological and modeling perspectives.