Hi all, I have been battling with a surface searchlight that has been taking 6 to 8 hours for a small dataset. It outputs a usable analysis but the time it takes is concerning given that our lab is looking to use even higher resolution fMRI datasets in the future. I profiled the searchlight call and it looks like approximately 90% of those hours is spent mapping in the function from feature IDs to linear voxel IDs (the function feature_id2linear_voxel_ids). I looked into the source code and it appears that it is using the in keyword on a list which has to search through every element of the list for each iteration of the list comprehension and then calls that function for each feature. This might account for the slowdown. I'm wondering if there is a way to work around this or speed it up.
Thanks, John
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