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Amit - the princeton group has a toolbox that does classification (http://www.csbmb.princeton.edu/mvpa/). I believe it only includes neural nets and ridge regression methods right now but those seem to be pretty effective (e.g., they finished in 2nd place in last year's OHBM competition using ridge regression). cheers rp On Mar 5, 2007, at 10:21 PM, Amit Etkin wrote: > Hello all- > > I was wondering if anybody has available, or could recommend, an > analysis > package (preferrably in Matlab) for fMRI image data that uses > support-vector > machine or similar classification methods for determining patterns > of brain > activity that maximally differentiate between conditions or between > groups > in an fMRI experiment...either using time course data or first level > contrast images. > > There have been a few papers recently, including several in > neuroimage, but > it seems that the packages that have been cited have been developed > for > general use (ie not specifically with fMRI data and images in > mind), and > have thus been much adapted by the authors. > > thanks in advance! > > Amit > --- Russell A. Poldrack, Ph.d. Associate Professor Wendell Jeffrey and Bernice Wenzel Term Chair in Behavioral Neuroscience UCLA Department of Psychology Franz Hall, Box 951563 Los Angeles, CA 90095-1563 phone: 310-794-1224 fax: 310-206-5895 email: [log in to unmask] web: www.poldracklab.org