Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.

ABSTRACT: A central goal in sensory neuroscience is to understand the neuronal signal processing involved in the encoding of natural stimuli. A critical step towards this goal is the development of successful computational encoding models. For ganglion cells in the vertebrate retina, the development of satisfactory models for responses to natural visual scenes is an ongoing challenge. Standard models typically apply linear integration of visual stimuli over space, yet many ganglion cells are known to show nonlinear spatial integration, in particular when stimulated with contrast-reversing gratings. We here study the influence of spatial nonlinearities in the encoding of natural images by ganglion cells, using multielectrode-array recordings from isolated salamander and mouse retinas. We assess how r

SUBMITTER: Liu JK 

PROVIDER: S-EPMC8932571 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature