Literature DB >> 32533915

Efficient Coding by Midget and Parasol Ganglion Cells in the Human Retina.

Florentina Soto1, Jen-Chun Hsiang2, Rithwick Rajagopal1, Kisha Piggott1, George J Harocopos1, Steven M Couch1, Philip Custer1, Josh L Morgan1, Daniel Kerschensteiner3.   

Abstract

In humans, midget and parasol ganglion cells account for most of the input from the eyes to the brain. Yet, how they encode visual information is unknown. Here, we perform large-scale multi-electrode array recordings from retinas of treatment-naive patients who underwent enucleation surgery for choroidal malignant melanomas. We identify robust differences in the function of midget and parasol ganglion cells, consistent asymmetries between their ON and OFF types (that signal light increments and decrements, respectively) and divergence in the function of human versus non-human primate retinas. Our computational analyses reveal that the receptive fields of human midget and parasol ganglion cells divide naturalistic movies into adjacent spatiotemporal frequency domains with equal stimulus power, while the asymmetric response functions of their ON and OFF types simultaneously maximize stimulus coverage and information transmission and minimize metabolic cost. Thus, midget and parasol ganglion cells in the human retina efficiently encode our visual environment.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  LN model; efficient coding; human neuroscience; metabolic cost; mutual information; naturalistic movies; parallel processing; redundancy; white noise

Mesh:

Year:  2020        PMID: 32533915      PMCID: PMC7442669          DOI: 10.1016/j.neuron.2020.05.030

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


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