Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.

We show that human ability to discriminate the wavelength of monochromatic light can be understood as maximum likelihood decoding of the cone absorptions, with a signal processing efficiency that is independent of the wavelength. This work is built on the framework of ideal observer analysis of visu...

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Main Authors: Li Zhaoping, Wilson S Geisler, Keith A May
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21625482/pdf/?tool=EBI
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spelling doaj-248a68f7014244688c9fba5494f0aa6e2021-03-03T19:53:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0165e1924810.1371/journal.pone.0019248Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.Li ZhaopingWilson S GeislerKeith A MayWe show that human ability to discriminate the wavelength of monochromatic light can be understood as maximum likelihood decoding of the cone absorptions, with a signal processing efficiency that is independent of the wavelength. This work is built on the framework of ideal observer analysis of visual discrimination used in many previous works. A distinctive aspect of our work is that we highlight a perceptual confound that observers should confuse a change in input light wavelength with a change in input intensity. Hence a simple ideal observer model which assumes that an observer has a full knowledge of input intensity should over-estimate human ability in discriminating wavelengths of two inputs of unequal intensity. This confound also makes it difficult to consistently measure human ability in wavelength discrimination by asking observers to distinguish two input colors while matching their brightness. We argue that the best experimental method for reliable measurement of discrimination thresholds is the one of Pokorny and Smith, in which observers only need to distinguish two inputs, regardless of whether they differ in hue or brightness. We mathematically formulate wavelength discrimination under this wavelength-intensity confound and show a good agreement between our theoretical prediction and the behavioral data. Our analysis explains why the discrimination threshold varies with the input wavelength, and shows how sensitively the threshold depends on the relative densities of the three types of cones in the retina (and in particular predict discriminations in dichromats). Our mathematical formulation and solution can be applied to general problems of sensory discrimination when there is a perceptual confound from other sensory feature dimensions.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21625482/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Li Zhaoping
Wilson S Geisler
Keith A May
spellingShingle Li Zhaoping
Wilson S Geisler
Keith A May
Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
PLoS ONE
author_facet Li Zhaoping
Wilson S Geisler
Keith A May
author_sort Li Zhaoping
title Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
title_short Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
title_full Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
title_fullStr Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
title_full_unstemmed Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
title_sort human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description We show that human ability to discriminate the wavelength of monochromatic light can be understood as maximum likelihood decoding of the cone absorptions, with a signal processing efficiency that is independent of the wavelength. This work is built on the framework of ideal observer analysis of visual discrimination used in many previous works. A distinctive aspect of our work is that we highlight a perceptual confound that observers should confuse a change in input light wavelength with a change in input intensity. Hence a simple ideal observer model which assumes that an observer has a full knowledge of input intensity should over-estimate human ability in discriminating wavelengths of two inputs of unequal intensity. This confound also makes it difficult to consistently measure human ability in wavelength discrimination by asking observers to distinguish two input colors while matching their brightness. We argue that the best experimental method for reliable measurement of discrimination thresholds is the one of Pokorny and Smith, in which observers only need to distinguish two inputs, regardless of whether they differ in hue or brightness. We mathematically formulate wavelength discrimination under this wavelength-intensity confound and show a good agreement between our theoretical prediction and the behavioral data. Our analysis explains why the discrimination threshold varies with the input wavelength, and shows how sensitively the threshold depends on the relative densities of the three types of cones in the retina (and in particular predict discriminations in dichromats). Our mathematical formulation and solution can be applied to general problems of sensory discrimination when there is a perceptual confound from other sensory feature dimensions.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21625482/pdf/?tool=EBI
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