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Reconstruction of natural images from responses of primate retinal ganglion cells

View ORCID ProfileNora Brackbill, View ORCID ProfileColleen Rhoades, Alexandra Kling, View ORCID ProfileNishal P. Shah, Alexander Sher, View ORCID ProfileAlan M. Litke, View ORCID ProfileE.J. Chichilnisky
doi: https://doi.org/10.1101/2020.05.04.077693
Nora Brackbill
1Department of Physics, Stanford University, Stanford, United States
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  • For correspondence: nbrackbill@gmail.com
Colleen Rhoades
2Department of Bioengineering, Stanford University, Stanford, United States
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Alexandra Kling
3Department of Neurosurgery, Stanford School of Medicine, Stanford, United States Department of Ophthalmology, Stanford University, Stanford, United States, Hansen Experimental Physics Laboratory, Stanford University, Stanford, United States
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Nishal P. Shah
4Department of Electrical Engineering, Stanford University, Stanford, United States
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Alexander Sher
5Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, Santa Cruz, United States
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Alan M. Litke
5Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, Santa Cruz, United States
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E.J. Chichilnisky
3Department of Neurosurgery, Stanford School of Medicine, Stanford, United States Department of Ophthalmology, Stanford University, Stanford, United States, Hansen Experimental Physics Laboratory, Stanford University, Stanford, United States
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Abstract

The visual message conveyed by a retinal ganglion cell (RGC) is often summarized by its spatial receptive field, but in principle also depends on the responses of other RGCs and natural image statistics. This possibility was explored by linear reconstruction of natural images from responses of the four numerically-dominant macaque RGC types. Reconstructions were highly consistent across retinas. The optimal reconstruction filter for each RGC – its visual message – reflected natural image statistics, and resembled the receptive field only when nearby, same-type cells were included. ON and OFF cells conveyed largely independent, complementary representations, and parasol and midget cells conveyed distinct and expected features. Correlated activity and nonlinearities had statistically significant but minor effects on reconstruction. Simulated reconstructions, using linear-nonlinear cascade models of RGC light responses that incorporated measured spatial properties and nonlinearities, produced similar results. Spatiotemporal reconstructions exhibited similar spatial properties, suggesting that the results are relevant for natural vision.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • A new section was added to clarify the interpretation of the results relative to standard models of retinal encoding. Minor changes were made to the text throughout.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 29, 2020.
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Reconstruction of natural images from responses of primate retinal ganglion cells
Nora Brackbill, Colleen Rhoades, Alexandra Kling, Nishal P. Shah, Alexander Sher, Alan M. Litke, E.J. Chichilnisky
bioRxiv 2020.05.04.077693; doi: https://doi.org/10.1101/2020.05.04.077693
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Reconstruction of natural images from responses of primate retinal ganglion cells
Nora Brackbill, Colleen Rhoades, Alexandra Kling, Nishal P. Shah, Alexander Sher, Alan M. Litke, E.J. Chichilnisky
bioRxiv 2020.05.04.077693; doi: https://doi.org/10.1101/2020.05.04.077693

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