add *.m.* to git ignore
Add <srch_radius> to mvpa params for searchlights
Add func makeCondCols. Selects approp onset columns for mvpa
New function for searchlight mvpa

Run classification within spheres of user-specified size centered at
each voxel within the supplied mask. Two types of selectors are created
and the user specifies which to use by changing a constant
<SL_SELECTORS_TO_USE>. The two choices are:
- standard xval with 8 training runs, 1 run held out for searchlight
  generalization, and 1 run held out for classification using the
  resulting searchlight mask.
- train ex, test cm. train on all explicit runs, searchlight
  generalization of 3 countermeasures runs, and 1 run held out for
classification using the resulting searchlight mask.

Future versions should have:
- selectors option to train on 3 ex runs, run searchlight
  generalization test on 3 countermeasures runs, run testing with the
  mask on 1 ex run and 1 cm run, so that we have a sense of how
  accuracy  is being affected on ex runs.
- classification using the resulting searchlight mask
- more testing (and visualization) to ensure proper data handling

Written based on standard mvpa code and the Princeton mvpa tutorial
for searchlights.
Check that input subject number is a real subject
Test held-out data using searchlight masks

Use searchlight as feature selection to create the mask with the 200
best voxels, and a mask with the 200 worst performing voxels. Use both
masks in a cross-validation analysis on the held out data.
Return Subj in srchlight mvpa
Use searchlight specific balancing func

The general balancing function is hardcoded to return balanced
selectors for anywhere the selectors are in {1, 2}, but for search-
lights, we also want balanced selectors where they are set to 3.
Without this fix, the searchlight won't test searchlight general-
ization on anything.
Add visualization of searchlight results with view_montage
fix typo for train funct name
Style change. Capitalize Expt for struct that handles experiment details
Searchlights not yet produced comprehensible output

Fixed problem creating selectors. But, resulting patterns show
difficult to interpret results