Just one more question:
I have a nifti file that has 5 dimensions (it's 10 x 1 x 80 x 80 x 33)
instead of 4. Is there anyway I can force it to ignore that second
dimension or get rid of it later on?
It's messing up searchlight, it seems, because the mapper thinks that
the individual datapoints are in 4 dimensions instead of 3.
Thanks,
James.
On Oct 15, 2010, at 11:34 PM, Yaroslav Halchenko wrote:
well... everything, sure thing depends on how much RAM you have in
general ;-) otherwise I am not sure what is the exact 'issue' ;)
and regardless either mask was applied, you better load with brain
mask
just to avoid wasting memory/cpu on searchlighting outside (although,
then you would fail to discover the throat ventral pathway as it was
done in 0.5 tutorials ;))
On Fri, 15 Oct 2010, James M. Hughes wrote:
I'm having some trouble creating a dataset using a Nifti file that
is approximately 1.6 GB in size on Mac OS 10.5 using python 2.5 and
pymvpa 0.4.2.
Previously I had been importing using a mask which signifianctly
reduced the size and so it was feasible, but it seems that Python's
memory limits are keeping me from importing the dataset w/ no mask
(since I want to do a searchlight).
I'm not sure whether a brain/non-brain mask has already been
applied, but this seems like one possible solution.
Aside from that, has anyone faced this issue before? Does anyone
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