Computational models of category-selective brain regions enable high-throughput tests of selectivity

Abstract

Distinct brain regions are claimed to respond selectively to faces, places and bodies, but what counts as a face, place or body is less well defined. Here we build computational models that accurately predict the response of these regions to novel images, enabling stronger tests and confirmation of their selectivity.