Swedish web site
Cognitive Neuroscience Methods & Data Analysis2012HT
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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
Page responsible: Director of Graduate Studies
