Thank you for the responses! It doesn't sound wrong ;-) However, I'm also not 100% sure want kind of > feature selection you are aiming at. Do you want to select features that > vary to a certain degress within an event, and come from the same voxel? >
Exactly, I would like to have a feature selection based on an event, that could be like the GLM-approach. > There are many possible strategy (e.g. repeated random selection, ...). > But, again, more information on your dataset would be helpful. You are > saying that you have 100 volumes per that (per run) that you reduce into > a single sample? Why is that? > My task is a meditation task thus I have few runs with many volumes per runs and I would like to see the informations carried by the task from a temporal point of view, so I have a huge amount of features vs very few runs (six), do you think that repeated random selection could be useful? Thank you very much, RG
_______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
