A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes (Naselaris et al., NeuroImage, 2015)
Are low-level visual features encoded during mental imagery of complex scenes? Voxel-wise encoding models were fit to fMRI responses to works of art, then used to decode activity as subjects imagined those same works. Mental images could be accurately identified, with accuracy depending on each voxel's tuning to low-level features. We also demonstrate a proof-of-concept image search guided by mental imagery.