227-0974-00L TNU Colloquium
Semester | Autumn Semester 2020 |
Lecturers | K. Stephan |
Periodicity | every semester recurring course |
Language of instruction | English |
Courses
Number | Title | Hours | Lecturers | |
---|---|---|---|---|
227-0974-00 K | TNU Colloquium
![]() Permission from lecturers required for all students.
Takes place on the following dates (14:00 - 16:00): 17.09.; 24.09.; 01.10.; 08.10.; 15.10.; 22.10.; 29.10; 05.11.; 12.11.; 19.11; 26.11.; 03.12.; 10.12.; 17.12.2020 WIL Building, TNU meeting room F105, Translational Neuromodeling Unit, Institute for Biomedical Engineering, Wilfriedstrasse 6, 8032 Zürich. (http://www.mapsearch.ethz.ch/map.do?gebaeudeMap=WIL) | 2 hrs | K. Stephan |
Catalogue data
Abstract | This colloquium for MSc/PhD students at D-ITET discusses research in Translational Neuromodeling (development of mathematical models for diagnostics of brain diseases) and application to Computational Psychiatry/Psychosomatics. The range of topics is broad, incl. computational (generative) modeling, experimental paradigms (fMRI, EEG, behaviour), and clinical questions. |
Objective | see above |
Content | This colloquium for MSc/PhD students at D-ITET discusses research in Translational Neuromodeling (development of mathematical models for diagnostics of brain diseases) and application to Computational Psychiatry/Psychosomatics. The range of topics is broad, incl. computational (generative) modeling, experimental paradigms (fMRI, EEG, behaviour), and clinical questions. |
Performance assessment
Performance assessment information (valid until the course unit is held again) | |
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ECTS credits | 0 credits |
Examiners | K. Stephan |
Type | ungraded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
Learning materials
No public learning materials available. | |
Only public learning materials are listed. |
Groups
No information on groups available. |
Restrictions
General | ![]() Permission from lecturers required for all students |
Offered in
Programme | Section | Type | |
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Doctoral Dep. of Information Technology and Electrical Engineering | Doctoral and Post-Doctoral Courses | W | ![]() |