[pymvpa] spatial normalization for each searchlight

[Konatsu Miyamoto]

Dear PyMVPA experts,

I'd like to do spatial rather than temporal normalization for each
classification sample to equalize the mean intensity among samples at each
time point.

It's relatively straightforward to do so for self-defined, static ROI masks
but less trivial for searchlight analyses. Is there a 'preproc' argument
for sphere_searchlight() like postproc=mean_sample()? If not, how can I
demean patterns within these dynamically running searchlights?

Thanks!
Konatsu
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