[pymvpa] Matrices per Searchlight

[Hanson, Gavin Keith]

Hi:
I am reasonably new to PyMVPA, but have not had any trouble with it so far.
However, I am interested in running an analysis similar to that performed in Connolly, 2012, where dissimilarity matrices are computed per searchlight. I would like to know if anyone knows of a straightforward way to do with within PyMVPA - that is, get the simple confusion matrix per searchlight. Even better, I would like to be able to look at the results of the BayesConfusionHypothesis node at a per-searchlight level, as our hypothesis has to do with how the specificity of information encoding changes across the brain, and that tool seems perfect for that. Results with ROIs have been promising, but I'd like to see how this plays out across the entire brain, and the ability to use the searchlight tool in conjunction with the Bayes Confusion node would be very helpful. If anyone could help me with this, I'd much appreciate it!

- Gavin Hanson