[pymvpa] effect of signal on null distributions
jetzel at artsci.wustl.edu
Fri Feb 15 16:02:54 UTC 2013
Yes, I just divided by a constant for all voxels in class B, so it is a
multiplicative change in this case. 1000 permutations, 10
examples/class/run, partitioning on the runs, 2 or 4 runs. Lengthy
description (and code) is on the blog. I wrote the R code off the text
description of normal_feature_dataset; I didn't check to see if it is
precisely the same as implemented in pyMVPA.
On 2/15/2013 9:55 AM, MS Al-Rawi wrote:
> Thanks to keep this topic up and for the nice reproduction of
> previous results. I guess changing the SNR could be considered as a
> multiplicative parameter, are you using one SNR value for all voxels?
> To get the full picture, how many permutations did you use? And how
> many samples per each run were there?
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