Hi Michael (and all), just a quick clarification on your previous response to my query relating classification based on individual parameter estimates (PEs) - you mentioned I could use the PEs associated with the temporal derivative or even the PEs associated with a set of basis functions....however I wonder that this PEs would not be independent (as would be PEs obtained from different runs) ....would it be okay to use those PEs anyways?
A second related thing is that I have not been using the PEs exactly but the Contrast of PEs (i.e. COPES in FSL) associated with each EV- I have 16 EVs (8 per class) and hence obtained COPES such that 1000 0100 0010 0001 etc I dont see why it would make any difference to work wit COPEs rather than PEs, except that only with the later I could boost my dataset by using the temporal derivatives or basis functions.... cheers ds On Fri, Jul 4, 2014 at 2:33 PM, Michael Hanke <[email protected]> wrote: > Hi, > > On Tue, Jul 01, 2014 at 12:25:40AM +0100, David Soto wrote: > > Hi Michael, indeed ..well done for germany today! :). > > Thanks for the reply and the suggestion on KNN > > I should have been more clear that for each subject I have the > > following *block > > *sequences > > ababbaabbaabbaba in TASK 1 > > ababbaabbaabbaba in TASK 2 > > > > this explains that I have 8 a-betas and 8 b-betas for each task > > AND for each subject..so if i concatenate & normalize all the beta data > > across subjects I will have 8 x 19 (subjects)= 152 beta images for class > a > > and the same for class b > > Ah, I guess you model each task with two regressors (hrf + derivative?). > You can also use a basis function set and get even more betas... > > > > then could I use SVM searchlight trained to discriminate a from b in > task1 > > betas and tested in the task2 betas? > > yes, no problem. > > Cheers, > > Michael > > PS: Off to enjoy the quarter finals ... ;-) > > > -- > Michael Hanke > http://mih.voxindeserto.de > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa > -- http://www1.imperial.ac.uk/medicine/people/d.soto/
_______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
