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Natural image statistics for mouse vision

The mouse has dichromatic color vision based on two different types of opsins: short (S)- and middle (M)-wavelength-sensitive opsins with peak sensitivity to ultraviolet (UV; 360 nm) and green light (508 nm), respectively. In the mouse retina, cone photoreceptors that predominantly express the S-ops...

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Detalles Bibliográficos
Autores principales: Abballe, Luca, Asari, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775586/
https://www.ncbi.nlm.nih.gov/pubmed/35051230
http://dx.doi.org/10.1371/journal.pone.0262763
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author Abballe, Luca
Asari, Hiroki
author_facet Abballe, Luca
Asari, Hiroki
author_sort Abballe, Luca
collection PubMed
description The mouse has dichromatic color vision based on two different types of opsins: short (S)- and middle (M)-wavelength-sensitive opsins with peak sensitivity to ultraviolet (UV; 360 nm) and green light (508 nm), respectively. In the mouse retina, cone photoreceptors that predominantly express the S-opsin are more sensitive to contrasts and denser towards the ventral retina, preferentially sampling the upper part of the visual field. In contrast, the expression of the M-opsin gradually increases towards the dorsal retina that encodes the lower visual field. Such a distinctive retinal organization is assumed to arise from a selective pressure in evolution to efficiently encode the natural scenes. However, natural image statistics of UV light remain largely unexplored. Here we developed a multi-spectral camera to acquire high-quality UV and green images of the same natural scenes, and examined the optimality of the mouse retina to the image statistics. We found that the local contrast and the spatial correlation were both higher in UV than in green for images above the horizon, but lower in UV than in green for those below the horizon. This suggests that the dorsoventral functional division of the mouse retina is not optimal for maximizing the bandwidth of information transmission. Factors besides the coding efficiency, such as visual behavioral requirements, will thus need to be considered to fully explain the characteristic organization of the mouse retina.
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spelling pubmed-87755862022-01-21 Natural image statistics for mouse vision Abballe, Luca Asari, Hiroki PLoS One Research Article The mouse has dichromatic color vision based on two different types of opsins: short (S)- and middle (M)-wavelength-sensitive opsins with peak sensitivity to ultraviolet (UV; 360 nm) and green light (508 nm), respectively. In the mouse retina, cone photoreceptors that predominantly express the S-opsin are more sensitive to contrasts and denser towards the ventral retina, preferentially sampling the upper part of the visual field. In contrast, the expression of the M-opsin gradually increases towards the dorsal retina that encodes the lower visual field. Such a distinctive retinal organization is assumed to arise from a selective pressure in evolution to efficiently encode the natural scenes. However, natural image statistics of UV light remain largely unexplored. Here we developed a multi-spectral camera to acquire high-quality UV and green images of the same natural scenes, and examined the optimality of the mouse retina to the image statistics. We found that the local contrast and the spatial correlation were both higher in UV than in green for images above the horizon, but lower in UV than in green for those below the horizon. This suggests that the dorsoventral functional division of the mouse retina is not optimal for maximizing the bandwidth of information transmission. Factors besides the coding efficiency, such as visual behavioral requirements, will thus need to be considered to fully explain the characteristic organization of the mouse retina. Public Library of Science 2022-01-20 /pmc/articles/PMC8775586/ /pubmed/35051230 http://dx.doi.org/10.1371/journal.pone.0262763 Text en © 2022 Abballe, Asari https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Abballe, Luca
Asari, Hiroki
Natural image statistics for mouse vision
title Natural image statistics for mouse vision
title_full Natural image statistics for mouse vision
title_fullStr Natural image statistics for mouse vision
title_full_unstemmed Natural image statistics for mouse vision
title_short Natural image statistics for mouse vision
title_sort natural image statistics for mouse vision
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775586/
https://www.ncbi.nlm.nih.gov/pubmed/35051230
http://dx.doi.org/10.1371/journal.pone.0262763
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