227-0971-00L  Translational Neuromodeling & Computational Neuroeconomics

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



Courses

NumberTitleHoursLecturers
227-0971-00 STranslational Neuromodeling & Computational Neuroeconomics2 hrs
Fri14:15-16:00ETZ F 91 »
K. Stephan

Catalogue data

AbstractCurrent methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients.The key goal is to connect methodological training with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases.
Learning objectiveTo understand current concepts about computational and physiological mechanisms of maladaptive behaviour and psychiatric diseases.
ContentIn this seminar, we discuss current methods and concepts for deciphering mechanisms of maladaptive behaviour, such as aberrant learning and decision-making in healthy individuals and psychiatric patients. The key goal is to connect methodological training (in computational and statistical techniques for analyzing behavioural, fMRI and EEG data) with biological and clinical knowledge about the phenomenology and pathophysiology of psychiatric and neurological diseases. This seminar aims at bridging the gap between mathematical modelers and clinical neuroscientists, enabling more effective communication and joint translational research.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersK. Stephan
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationStudents are expected to program their own implementation (in MATLAB) of one of the models or analysis techniques discussed in the seminar and give a short case study presentation (10 min) of their code and results in the final session of the course.

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