Klaas Stephan: Katalogdaten im Frühjahrssemester 2017

NameHerr Prof. Dr. Klaas Stephan
LehrgebietTranslationale Neuromodellierung und Komputationale Psychiatrie
Adresse
Professur f. Transl. Neuromodeling
ETH Zürich, WIL G 203
Wilfriedstrasse 6
8032 Zürich
SWITZERLAND
Telefon+41 44 634 91 25
Fax+41 44 634 91 31
E-Mailstephan@biomed.ee.ethz.ch
DepartementInformationstechnologie und Elektrotechnik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
227-0967-00LComputational Neuroimaging Clinic Information 3 KP2VK. Stephan
KurzbeschreibungThis seminar teaches problem solving skills for computational neuroimaging, based on joint 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 data, or generative models of fMRI, EEG, or behavioural data.
Lernziel1. 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.
InhaltThis seminar teaches problem solving skills for computational neuroimaging, based on joint 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 data, or generative models of fMRI, EEG, or behavioural data.
.
Voraussetzungen / BesonderesThe participants are expected to have successfully completed at least one of the following courses:
'Methods & models for fMRI data analysis',
'Translational Neuromodeling',
'Computational Psychiatry'
227-0970-00LResearch Topics in Biomedical Engineering Information 0 KP2KK. P. Prüssmann, M. Rudin, M. Stampanoni, K. Stephan, J. Vörös
KurzbeschreibungCurrent topics in Biomedical Engineering presented mostly by external speakers from academia and industry.
Lernzielsee above
227-0973-00LTranslational Neuromodeling Information
Findet dieses Semester nicht statt.
6 KP4GK. Stephan
KurzbeschreibungThis lecture deals with computational modeling of neuronal and cognitive processes for diagnostic applications in psychiatry ("Translational Neuromodeling"). A particular focus is on Bayesian methods and generative models, e.g. dynamic system models for inferring neuronal mechanisms from neuroimaging data, and hierarchical learning models for inference on cognitive mechanisms from behaviour.
LernzielTo obtain an understanding of the goals and methods of translational neuromodeling, particularly with regard to Bayesian models of neuroimaging (fMRI, EEG) and behavioural data.
InhaltThis lecture deals with computational modeling of neuronal and cognitive processes for diagnostic applications in psychiatry ("translational neuromodeling"). A particular focus is on Bayesian methods and generative models, e.g. dynamic causal models (DCMs) for inferring neuronal mechanisms from neuroimaging data, and hierarchical learning models for inference on cognitive mechanisms from behavioural data. The course illustrates the application of these models to various psychiatric diseases and outlines a general research strategy.
LiteraturSee TNU website:
http://www.biomed.ee.ethz.ch/research/tnu/teaching
Voraussetzungen / BesonderesBasic knowledge of Bayesian statistics, MATLAB programming skills
227-0974-00LTNU Colloquium Belegung eingeschränkt - Details anzeigen 0 KP2KK. Stephan
KurzbeschreibungThis colloquium for MSc and PhD students at D-ITET discusses current research topics in Translational Neuromodeling, a new discipline concerned with the development of mathematical models for diagnostics of brain diseases. The range of topics is broad, incl. statistics and computational modeling, experimental paradigms (fMRI, EEG, behaviour), and clinical questions.
Lernzielsee above