Cognitive Neuroscience Methods & Data Analysis2012HT
No of Lectures
3-4 full days.
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.
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.
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).
3-4 full days.
The main methods/techniques are those mentioned above under ”Goals”. The course will also contain some practical exercises in data analysis.
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
India Morrison or Tom Ziemke, University of Skövde
Page responsible: Director of Graduate Studies
Last updated: 2012-05-03