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227-0967-00L 3 Credits MSC , NDS D-HEST , D-MAVT , D-PHYS , D-ITET
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Computational Neuroimaging Clinic

Lecturers & Examiners: Prof. Dr. Klaas Stephan
VVZ CR n/a

Last Updated: 2026-02-05 16:37:56

Abstract

This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG/OPM data, or generative models of fMRI/EEG/OPM, or behavioural data.

Objective

1. Consolidation of theoretical knowledge (obtained in one of the following courses: Methods & models for fMRI data analysis, Translational Neuromodeling, Computational Psychiatry) in a practical setting. 2. Acquisition of practical problem solving strategies for computational modeling of neuroimaging data.

Content

This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG/OPM data, or generative models of fMRI/EEG/OPM or behavioural data.

General Information

Language
English
Levels
MSC , NDS
Frequency
Semesterly recurring

Examination

Type
ungraded semester performance
Oral exam (30 min): 15 min presentation of a paper that concerns one of the problems the seminar dealt with, plus subsequent 15 min discussion.

Course Components

Type Title Time & Place Hours
lecture Computational Neuroimaging Clinic
Place: WIL-F-105 at TNU (Wilfriedstrasse 6, 8032 Zürich)
  • Wed 10:00-12:00 (Ex te rn)
2 h weekly

Offered In