Literature DB >> 17685813

Cone selectivity derived from the responses of the retinal cone mosaic to natural scenes.

Thomas Wachtler1, Eizaburo Doi, Te- Won Lee, Terrence J Sejnowski.   

Abstract

To achieve color vision, the brain has to process signals of the cones in the retinal photoreceptor mosaic in a cone-type-specific way. We investigated the possibility that cone-type-specific wiring is an adaptation to the statistics of the cone signals. We analyzed estimates of cone responses to natural scenes and found that there is sufficient information in the higher order statistics of L- and M-cone responses to distinguish between cones of different types, enabling unsupervised learning of cone-type specificity. This was not the case for a fourth cone type with spectral sensitivity between L and M cones, suggesting an explanation for the lack of strong tetrachromacy in heterozygous carriers of color deficiencies.

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Year:  2007        PMID: 17685813      PMCID: PMC2905593          DOI: 10.1167/7.8.6

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  60 in total

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Authors:  R C Reid; R M Shapley
Journal:  Nature       Date:  1992-04-23       Impact factor: 49.962

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Journal:  Vision Res       Date:  1992-05       Impact factor: 1.886

9.  Photoreceptor spectral sensitivities: common shape in the long-wavelength region.

Authors:  T D Lamb
Journal:  Vision Res       Date:  1995-11       Impact factor: 1.886

10.  Frequency of metamerism in natural scenes.

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  12 in total

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6.  Uniform color spaces and natural image statistics.

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Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

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Authors:  Christian J Kellner; Thomas Wachtler
Journal:  Front Psychol       Date:  2013-09-27

10.  Unsupervised learning of cone spectral classes from natural images.

Authors:  Noah C Benson; Jeremy R Manning; David H Brainard
Journal:  PLoS Comput Biol       Date:  2014-06-26       Impact factor: 4.475

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