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Cognitive Neuroscience Methods & Data Analysis

2012HT

Status Cancelled
School Nationell Forskarskola i Kognitionsvetenskap (SweCog)
Division HIS
Owner Åsa Kärrman

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Course plan

No of Lectures

3-4 full days.

Recommended for

PhD students in cognitive science (and related research areas, e.g. AI, HCI).

The course was last given

The course has not been given before.

Goals

The course will give an introductory overview of different cognitive neuroscience methods/techniques for measuring/mapping brain activity (e.g. fMRI, EEG, PET, MEG, TMS, DTI, optical imaging) as well as how the data that they generate can be analyzed and interpreted. The course should enable students with limited neuroscience knowledge to better understand and critically evaluate research in the rapidly growing area of cognitive neuroscience.

Prerequisites

None. Basic knowledge of statistics and quantitatively methods would be useful, plus basic knowledge of which parts of the brain do what (most cognitive science students acquire this basic knowledge as part of their undergraduate or masters degree).

Organization

3-4 full days.

Contents

The main methods/techniques are those mentioned above under ”Goals”. The course will also contain some practical exercises in data analysis.

Literature

TDB

Lecturers

India Morrison, Göteborg University/Sahlgrenska & University of Skövde
Christian Balkenius, Lund University (optical imaging)
(+ possibly Antti Revonsuo, professor of cognitive neuroscience in Skövde)
Tom Ziemke, University of Skövde

Examiner

India Morrison or Tom Ziemke, University of Skövde

Examination

TBD

Credit

7,5 hp


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Last updated: 2012-05-03