Methods & models for fMRI data analysis – HS 2014
Justin ChumbleyAndreea DiaconescuJakob HeinzleSandra Iglesias
Lars KasperFrederike PetzschnerSudhir Shankar RamanKlaas Enno Stephan
Room: ETZ F91
Time: Fri, 12:00 – 13:30Schedule:
19.09.: BOLD neurophysiology (Jakob Heinzle)26.09.: Spatial preprocessing of fMRI images (Lars Kasper)03.10.: The General Linear Model for fMRI analyses (K.E. Stephan)10.10.: Classical (frequentist) inference (Frederike Petzschner)17.10.: no course
24.10.: Multiple comparison correction (J. Chumbley)31.10.: Experimental design (S. Iglesias)07.11.: Event-related fMRI and design efficiency (K.E. Stephan)14.11.: Variational Bayes & Bayesian model selection (Sudhir Shankar)21.11.: Computational Neuroimaging (Andreea Diaconescu)28.11.: Multivariate models for fMRI (K.E. Stephan)05.12.: Basics of Dynamic Causal Modelling (K.E. Stephan)12.12.: Practical session on DCM (K.E. Stephan)19.12.: Advanced aspects of Dynamic Causal Modelling (K.E. Stephan)
Methods & models for fMRI data analysis
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• Slides available on http://www.translationalneuromodeling.org, more information follows.
• 3 credit points• Attendance requirements: 11/13 presentations• Exam:
– 09.01.2015: 12:00– 13:30 – (36 MC questions, 90 min time)– Pass is required to get credit points
For all administrative issues, please contact Silvia Princz ([email protected]).
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