Information-theoretical analysis of the neural code for decoupled face representation.

ABSTRACT: Processing faces accurately and efficiently is a key capability of humans and other animals that engage in sophisticated social tasks. Recent studies reported a decoupled coding for faces in the primate inferotemporal cortex, with two separate neural populations coding for the geometric position of (texture-free) facial landmarks and for the image texture at fixed landmark positions, respectively. Here, we formally assess the efficiency of this decoupled coding by appealing to the information-theoretic notion of description length, which quantifies the amount of information that is saved when encoding novel facial images, with a given precision. We show that despite decoupled coding describes the facial images in terms of two sets of principal components (of landmark shape and image textur

SUBMITTER: Ibanez-Berganza M 

PROVIDER: S-EPMC10817192 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature