Systematic reduction of the dimensionality of natural scenes allows accurate predictions of retinal ganglion cell spike outputs

Author:

Freedland Julian1ORCID,Rieke Fred2ORCID

Affiliation:

1. Molecular Engineering & Sciences Institute, University of Washington, Seattle, WA 98195

2. Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195

Abstract

The mammalian retina engages a broad array of linear and nonlinear circuit mechanisms to convert natural scenes into retinal ganglion cell (RGC) spike outputs. Although many individual integration mechanisms are well understood, we know less about how multiple mechanisms interact to encode the complex spatial features present in natural inputs. Here, we identified key spatial features in natural scenes that shape encoding by primate parasol RGCs. Our approach identified simplifications in the spatial structure of natural scenes that minimally altered RGC spike responses. We observed that reducing natural movies into 16 linearly integrated regions described ∼80% of the structure of parasol RGC spike responses; this performance depended on the number of regions but not their precise spatial locations. We used simplified stimuli to design high-dimensional metamers that recapitulated responses to naturalistic movies. Finally, we modeled the retinal computations that convert flashed natural images into one-dimensional spike counts.

Funder

HHS | NIH | National Eye Institute

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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