Dear FSL list,
The following link contains some Matlab programs which
members of the list might find useful for teaching purposes.
http://www.dartmouth.edu/~raj/fmri-matlab.html
The code has lots of comments in it, which attempt to explain
the concepts as explicitly as possible.
No prior knowledge of Matlab or linear algebra is assumed.
These two tutorials show some approaches in pattern-based fMRI anaylsis:
classification_plane_tutorial.m
- This is a very introductory tutorial, showing how a classification task
can be viewed as drawing a decision boundary in a feature space.
explore_kamitani_tong_pattern_based_fMRI.m
- This tutorial is a bit more in-depth, and explores the ideas
put forward in the important paper by Kamitani & Tong (2005).
I should emphasise that this code is simply inspired by
the Kamitani & Tong study, and should not be thought of
as in any way endorsed by those authors!
Lower down on the same page there are some older tutorials,
looking at convolving with an HRF, the math of convolution,
the structure of a design matrix etc.
Please feel free to mail me ([log in to unmask])
with any comments or suggestions.
Yours,
Rajeev Raizada
Research Assistant Professor
Neukom Institute for Computational Science
Dartmouth College
HB 6255
Hanover NH 03755
Tel: 603 646 0175
E.mail: [log in to unmask]
WWW: http://www.dartmouth.edu/~raj
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