Photoreceptive retinal ganglion cells control the information rate of the optic nerve

Research output: Contribution to journalArticlepeer-review

  • External authors:
  • Cyril G. Eleftheriou
  • Andrea Colins Rodríguez

Abstract

Information transfer in the brain relies upon energetically expensive spiking activity of neurons. Rates of information flow should therefore be carefully optimised, but mechanisms to control this parameter are poorly understood. We address this deficit in the visual system, where ambient light (irradiance) is predictive of the amount of information reaching the eye and ask whether a neural measure of irradiance can therefore be used to proactively control information flow along the optic nerve. We first show that firing rates for the retina’s output neurones (retinal ganglion cells; RGCs) scale with irradiance and are positively correlated with rates of information and the gain of visual responses. Irradiance modulates firing in the absence of any other visual signal confirming that this is a genuine response to changing ambient light. Irradiance-driven changes in firing are observed across the population of RGCs (including in both ON and OFF units), but are disrupted in mice lacking melanopsin (the photopigment of irradiance-coding intrinsically photosensitive RGCs (ipRGCs)) and can be induced under steady light exposure by chemogenetic activation of ipRGCs. Artificially elevating firing by chemogenetic excitation of ipRGCs is sufficient to increase information flow by increasing the gain of visual responses, indicating that enhanced firing is a cause of increased information transfer at higher irradiance. Our results establish a retinal circuitry driving changes in RGC firing as an active response to alterations in ambient light in order to adjust the amount of visual information transmitted to the brain

Bibliographical metadata

Original languageEnglish
Pages (from-to)E11817-E11826
JournalProceedings of the National Academy of Sciences
Volume115
Issue number50
Early online date28 Nov 2018
DOIs
Publication statusPublished - 28 Nov 2018

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