CNSJ1204 Analysis methods of cognitive neuroscience (4 cr)
Study level:
Postgraduate studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Department of Psychology
Curriculum periods:
2021-2022, 2022-2023
Description
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
- the principles of and practical approaches for pre-processing the data
- to understand and to apply different ways to obtain quantitative measures from the recorded
- brain signals
- how to combine electrophysiological and anatomical brain imaging data in the analyses
- how to apply appropriate statistical analyses that take into account the nature of the brain
- imaging data in question
- an introduction to advanced brain data analyses, including time frequency, connectivity,
- to become familiar with independent component (ICA) analyses and machine learning approaches
Learning outcomes
Students are able to conduct basic level analyses on selected brain researchmethods and gain knowledge of the most widely used advanced brain data analysis approaches.
Description of prerequisites
required: doctoral study right, basic knowledge of neuroscience/cognitive neuroscience
Completion methods
Method 1
Evaluation criteria:
Lectures, assignments (contact teaching, primarily independent work), reading material.
Select all marked parts
Parts of the completion methods
x
Participation in teaching (4 cr)
Type:
Participation in teaching
Grading scale:
Pass - fail
Language:
English