NEUS2800 Analysis methods for Cognitive Neuroscience (4 op)

Principles and applications of analysis approaches in neuroimaging. The course aims to promote understanding of MEG/EEG signals and neural phenomena (evoked responses, oscillatory activity, connectivity), and to give insights into how to apply different analysis approaches (including machine-learning and multimodal imaging) for obtaining quantitative measures from the recorded signals.

• of a variety of brain research methods and the related recorded signals
• how to conduct appropriate evaluation of the quality of the collected data
• to understand and to apply different ways to obtain quantitative measures (e.g. evoked responses, oscillatory activity) from the recorded brain signals
• how to combine different neuroimaging modalities in the analyses
• to become familiar connectivity and machine learning approaches