Searching for visual features that explain response variance of face neurons in inferior temporal cortex.

ABSTRACT: Despite a large body of research on response properties of neurons in the inferior temporal (IT) cortex, studies to date have not yet produced quantitative feature descriptions that can predict responses to arbitrary objects. This deficit in the research prevents a thorough understanding of object representation in the IT cortex. Here we propose a fragment-based approach for finding quantitative feature descriptions of face neurons in the IT cortex. The development of the proposed method was driven by the assumption that it is possible to recover features from a set of natural image fragments if the set is sufficiently large. To find the feature from the set, we compared object responses predicted from each fragment and responses of neurons to these objects, and search for the fragment tha

SUBMITTER: Owaki T 

PROVIDER: S-EPMC6147465 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature