VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

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

You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Computational Neuroimaging Clinic

Lecturers & Examiners: Prof. Dr. Klaas Stephan

Prerequisite: Successful completion of course "Methods & Models for fMRI Data Analysis", "Translational Neuromodeling" or "Computational Psychiatry"

VVZ CR n/a

Last Updated: 2026-06-03 00:07:31

Abstract

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

Objective

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

Content

General Information

Language: English
Levels: MSC , NDS
Frequency: Semesterly recurring

Examination

Type: ungraded semester performance

Oral exam (30 minutes) concerning computational/statistical approaches related to one of the topics the seminar dealt with. The exam involves presentation of a paper for 15 minutes, with subsequent questions for 15 minutes.Exam date: Wednesday, 16 December 2026.

Course Components

Type	Title	Time & Place	Hours
lecture	Computational Neuroimaging Clinic Place: WIL-F-105 at TNU (Wilfriedstrasse 6, 8032 Zürich) The exam will take place on Wednesday, 16 December 2026.	No time listed	2 h weekly

Offered In

Biomedical Engineering Master
- Track Courses
  - Bioimaging
    - Recommended Elective Courses (These courses are particularly recommended for the Bioimaging track. Please consult your track advisor if you wish to select other subjects.)
MAS in Medical Physics
- Specialisation in General Medical Physics
  - Major in Bioimaging
    - Electives
Electrical Engineering and Information Technology Master
- 01 - Courses of specializations
  - Track: Biomedical Engineering (The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Biomedical Engineering", see . The individual study plan is subject to the tutor's approval.)
    - Specialisation Courses (These specialisation courses are particularly recommended for the area of "Biomedical Engineering" but you are free to choose courses from any other field in agreement with your tutor. Semester / Research Projects are not allowed in this category. A minimum of 40 credits must be obtained from specialisation courses during the Master's Programme.)