Interpreting the retinal neural code for natural scenes: From computations to neurons.

ABSTRACT: Understanding the circuit mechanisms of the visual code for natural scenes is a central goal of sensory neuroscience. We show that a three-layer network model predicts retinal natural scene responses with an accuracy nearing experimental limits. The model's internal structure is interpretable, as interneurons recorded separately and not modeled directly are highly correlated with model interneurons. Models fitted only to natural scenes reproduce a diverse set of phenomena related to motion encoding, adaptation, and predictive coding, establishing their ethological relevance to natural visual computation. A new approach decomposes the computations of model ganglion cells into the contributions of model interneurons, allowing automatic generation of new hypotheses for how interneurons with d

SUBMITTER: Maheswaranathan N 

PROVIDER: S-EPMC10680974 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature