M.Sc. Cognitive Neuroscience

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Neurocognitive Methods Practical

Learning objectives: 

The students have practical knowledge regarding experimental planning and implementation and their application in the fields of social, affective, and cognitive neuroscience. They master the theoretical foundations and practical application possibilities of neuro-cognitive methods on the basis of selected examples. In addition, they are familiar with independent data collection and concrete evaluation (using appropriate software such as SPM or FSL). They are able to use this knowledge to develop research questions and their empirical implementation and to present and discuss both in oral and written form. Thus, important techniques of scientific work are practiced and teamwork and communication skills are trained.


Based on the basic knowledge acquired in the module Neurocognitive Methods and Data Analysis, the module deals with the practical application possibilities of neurocognitive methods. In particular, the application-oriented data collection and practical analysis with standardized methods (SPM, FSL, etc.) are covered. Univariate as well as multivariate analyses of fMRI data and EEG data are discussed in detail and methods for the analysis of structural and functional connectivity are presented. The practical application of the analysis procedures as well as the interpretation of the resulting results against the background of scientific initial hypotheses and theories will be explicitly practiced.