CNSJ1204 Analysis methods of cognitive neuroscience (4 cr)

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Study level:

Postgraduate studies

Grading scale:

Pass - fail

Language:

English

Responsible organisation:

Department of Psychology

Curriculum periods:

2021-2022, 2022-2023, 2023-2024

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

Participation in teaching (4 cr)

Type:

Participation in teaching