Feature-specific divisive normalization improves natural image encoding for depth perception.

ABSTRACT: Vision science and visual neuroscience seek to understand how stimulus and sensor properties limit the precision with which behaviorally-relevant latent variables are encoded and decoded. In the primate visual system, binocular disparity-the canonical cue for stereo-depth perception-is initially encoded by a set of binocular receptive fields with a range of spatial frequency preferences. Here, with a stereo-image database having ground-truth disparity information at each pixel, we examine how response normalization and receptive field properties determine the fidelity with which binocular disparity is encoded in natural scenes. We quantify encoding fidelity by computing the Fisher information carried by the normalized receptive field responses. Several findings emerge from an analysis of t

SUBMITTER: Ni L 

PROVIDER: S-EPMC11429615 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature