Mid-level visual features underlie the high-level categorical organization of the ventral stream.

ABSTRACT: Human object-selective cortex shows a large-scale organization characterized by the high-level properties of both animacy and object size. To what extent are these neural responses explained by primitive perceptual features that distinguish animals from objects and big objects from small objects? To address this question, we used a texture synthesis algorithm to create a class of stimuli-texforms-which preserve some mid-level texture and form information from objects while rendering them unrecognizable. We found that unrecognizable texforms were sufficient to elicit the large-scale organizations of object-selective cortex along the entire ventral pathway. Further, the structure in the neural patterns elicited by texforms was well predicted by curvature features and by intermediate layers o

SUBMITTER: Long B 

PROVIDER: S-EPMC6156638 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature