[pymvpa] Spatiotemporal Feature Selection

Roberto Guidotti robbenson18 at gmail.com
Mon Jul 23 13:55:51 UTC 2012

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,
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