[Pkg-exppsy-pymvpa-dev] pymvpa and spatially related features

[Satrajit Ghosh]

thanks yarik,

What specific use for those did you have in mind?
>

very often in neuroimaging studies, you derive multiple features from the
same place (voxel or vertex). it would be interesting to see if the
combination of features from a  given location worked better compared to
treating each of these features independently.

cheers,

satra


> On Thu, 06 May 2010, Satrajit Ghosh wrote:
>
> >    hi,
> >    i have a set of features that share geometrical/spatial properties. is
> >    there a way i can tell pymvpa that these features are tied together?
> >    for example, i might get curvature and cortical thickness from a
> single
> >    vertex as features, but currently i don't encode the fact that these
> >    two features are related. the ds is just a nsubj x nfeat matrix.
> >    and related to this question, are there specific classifiers that can
> >    take advantage of this relation?
> >    and to extend it beyond simple grouping based on location, can i
> >    include neighborhood relations on surfaces  or to generalize
> >    (connectivity on graphs).
> >    cheers,
> >    satra
>
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