NEUS2800 Analysis methods of cognitive neuroscience (4 cr)
Study level:
Advanced studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Department of Psychology
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
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Principles and applications of analysis approaches in neuroimaging.
Description
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.
Learning outcomes
The course consists of lectures and assignments with the objective of learning
- 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
Additional information
Completion modes: Lectures, essays, group assignments (contact teaching, primarily independent work), reading material.
Completion methods
Method 1
Description:
Lectures, assignments (contact teaching, primarily independent work), reading material.
Select all marked parts
Parts of the completion methods
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Participation in teaching (4 cr)
Type:
Participation in teaching
Grading scale:
Pass - fail
Language:
English