Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area

Stephen José Hanson, Yaroslav O. Halchenko
2008 Neural Computation  
Over the last decade object recognition work has confounded voxel response detection with potential voxel class identification. Consequently, the claim that there are areas of the brain that are necessary and sufficient for object identification cannot be resolved with existing associative methods (e.g. GLM) that are dominant in brain imaging methods. In order to explore this controversy we trained full brain (40k voxels) single TR classifiers on data from 10 subjects in two different
more » ... different recognition tasks on the most controversial classes of stimuli ("HOUSE" and "FACE") and show 97.4% median outof-sample (unseen TRs) generalization. This performance allowed us to reliably and uniquely assay the classifier's voxel diagnosticity in all individual subject's brains: In this two class case there may be specific areas diagnostic for HOUSE stimuli (e.g. "LO") or for FACE stimuli (e.g "STS"), however, in contrast to the detection results common in this literature neither the FFA or PPA are shown to be uniquely diagnostic for FACEs or PLACEs respectively.
doi:10.1162/neco.2007.09-06-340 pmid:18047411 fatcat:debpyjybfnamfoerhj2jepqqhi