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MSchnei
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pyprf_feature
Population receptive field estimation with feature weights.
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Implement suppressive surround as a DoG
#16
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MSchnei
closed
5 years ago
MSchnei
commented
6 years ago
This can be implemented by looping around pyprf_feature and establishing the best fit per voxel in several loops (see pyprf_motion; flag --cmpr)
In the first loop, the standard model without any suppressive surround is fit; this will serve as a baseline reference for future fits
In the following loop, different ratios of the surround size with regard to the center size are tested.
Zuiderbaan et al. can serve as a reference article for which ratios to choose.
MSchnei
commented
5 years ago
This feature has been implemented.