A goal of vision science is to develop computational models that characterize the fundamental response properties of neurons in visual cortex. One such property is spatial frequency (SF) tuning: neural populations in visual cortex selectively respond to specific bands of SF, which determines the level of detail, coarse or fine, represented from the visual input. The Population Spatial Frequency Toolbox (pSF-Toolbox) is a MATLAB package for characterizing the SF tuning of neural populations from functional magnetic resonance imaging (fMRI) data. This open-source toolbox includes stimulus presentation scripts and voxel-wise parameter optimization tools validated across a range of vision studies.
Ramirez et al. (Thu,) studied this question.