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Abstract
This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich and beyond, e.g., concerning mass-univariate/multivariate analyses and generative models of fMRI, EEG, OPM-MEG, or behavioural data.
Objective
1. 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.
Content
This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich and beyond, e.g., concerning mass-univariate/multivariate analyses and generative models of fMRI, EEG, OPM-MEG, or behavioural data.