227-0971-00L  Computational Psychiatry

SemesterAutumn Semester 2022
LecturersK. Stephan
Periodicityyearly recurring course
Language of instructionEnglish
CommentPlease note that participation in this course and the practical sessions requires additional registration at: Link



Courses

NumberTitleHoursLecturers
227-0971-00 SComputational Psychiatry
Block course 12.09.22 - 17.09.22
60s hrs
12.09. - 16.09.08:15-19:00ETF C 1 »
17.09.08:15-17:00HG E 21 »
08:15-17:00HG E 22 »
08:15-17:00HG E 23 »
08:15-17:00HG F 26.1 »
08:15-17:00HG F 26.3 »
08:15-17:00HG F 26.5 »
08:15-17:00HG G 26.1 »
08:15-17:00HG G 26.3 »
08:15-17:00HG G 26.5 »
K. Stephan

Catalogue data

AbstractThis six-day course teaches state-of-the-art methods in computational psychiatry. It covers various computational models of cognition (e.g., learning and decision-making) and brain physiology (e.g., effective connectivity) of relevance for psychiatric disorders. The course not only provides theoretical background, but also demonstrates open source software in application to concrete examples.
ObjectiveThis course aims at bridging the gap between mathematical modelers and clinical neuroscientists by teaching computational techniques in the context of clinical applications. The hope is that the acquisition of a joint language and tool-kit will enable more effective communication and joint translational research between fields that are usually worlds apart.
ContentThis six-day course teaches state-of-the-art methods in computational psychiatry. It covers various computational models of cognition (e.g., learning and decision-making) and brain physiology (e.g., effective connectivity) of relevance for psychiatric disorders. The course not only provides theoretical background, but also demonstrates open source software in application to concrete examples. Furthermore, practical exercises provide in-depth exposure to different software packages. Please see Link for details.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersK. Stephan
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationOral exam (20 min) that assesses the understanding of general modeling principles and of specific mathematical models of behavioural and neuroimaging data taught by the course.
Exam Date: 23.9.2022

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Biomedical Engineering MasterRecommended Elective CoursesWInformation
Interdisciplinary Brain Sciences MasterElective Core ModulesWInformation
Computational Science and Engineering BachelorElectivesWInformation
Computational Science and Engineering MasterElectivesWInformation