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M.Sc. Social, Cognitive and Affective Neuroscience

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Neurocognitive Methods and Programming

The module comprises four sections.

  1. An introduction to electroencephalography (EEG), covering fundamentals of the EEG technique, including its physiological basis, data acquisition, and data analysis methods.
  2. An introduction to functional magnetic resonance imaging (FMRI), covering fundamentals of the FMRI technique, including its physiological basis, data acquisition, and data analysis methods.
  3. An introduction to imperative programming using Matlab in theory and praxis.
  4. An introduction to neurocognitive experiment programming using the Cogent Matlab Toolbox.

The aim of the module is to familiarize students with the essential theoretical background knowledge for the practical implementation and evaluation of neuroscientific studies. Students will be able to discuss the relative limitations and benefits of various neurocognitive methods such as EEG and FMRI. Furthermore, they will gain theoretical knowledge in, and practical experience with, imperative programming.

The module combines a lecture series with exercises and a final project.