227-0967-00L  Computational Neuroimaging Clinic

SemesterAutumn Semester 2013
LecturersK. Stephan
Periodicityevery semester recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
227-0967-00 VComputational Neuroimaging Clinic2 hrs
Wed14:15-16:00ETZ H 91 »
K. Stephan

Catalogue data

AbstractThis seminar teaches problem solving skills for the design and analysis of neuroimaging data (fMRI, EEG). It deals with a wide variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich. Examples may include mass-univariate and multivariate analyses of fMRI data, dynamic causal modeling of fMRI and EEG data.
Objective1. Consolidation of theoretical knowledge (obtained in the 'Methods & models for fMRI data analysis' lecture) in a practical setting.
2. Acquisition of practical problem solving strategies for computational
modeling of neuroimaging data.
ContentThis seminar teaches problem solving skills for the design and analysis of neuroimaging data (fMRI, EEG). It deals with a wide variety of real-life problems that are brought to this meeting from the euroimaging community at Zurich. Examples may include mass-univariate and multivariate analyses of fMRI data, dynamic causal modeling of fMRI and EEG data, or analyses of neuroimaging data on the basis of Bayesian models of behaviour.

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.
Admission requirementErfolgreiche Belegung des Kurses "Methods & Models for fMRI Data Analysis".
Successful completion of course "Methods & Models for fMRI Data Analysis".
Additional information on mode of examinationOral exam (10 min) concerning one of the practical problems the seminar dealt with.

Learning materials

 
Main linkhttp://www.biomed.ee.ethz.ch/research/tnu/teaching
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
Biomedical Engineering MasterRecommended Elective CoursesWInformation