In silico discovery of representational relationships across visual cortex.

ABSTRACT: Human vision is mediated by a complex interconnected network of cortical brain areas that jointly represent visual information. Although these areas are increasingly understood in isolation, their representational relationships remain unclear. Here we developed relational neural control and used it to investigate the representational relationships for univariate and multivariate functional magnetic resonance imaging (fMRI) responses of areas across the visual cortex. Through relational neural control, we generated and explored in silico fMRI responses for large numbers of images, discovering controlling images that align or disentangle responses across areas, thus indicating their shared or unique representational content. This revealed a typical network-level configuration of representati

SUBMITTER: Gifford AT 

PROVIDER: S-EPMC12545174 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature