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dc.contributor.author
Da Fonseca, María de Los Angeles
dc.contributor.author
Samengo, Ines
dc.date.available
2019-04-16T18:32:20Z
dc.date.issued
2016-12-22
dc.identifier.citation
Da Fonseca, María de Los Angeles; Samengo, Ines; Derivation of human chromatic discrimination ability from an information-theoretical notion of distance in color space; M I T Press; Neural Computation; 28; 12; 22-12-2016; 2628-2655
dc.identifier.issn
0899-7667
dc.identifier.uri
http://hdl.handle.net/11336/74503
dc.description.abstract
The accuracy with which humans detect chromatic differences varies throughout color space. For example, we are far more precise when discriminating two similar orange stimuli than two similar green stimuli. In order for two colors to be perceived as different, the neurons representing chromatic information must respond differently, and the difference must be larger than the trial-to-trial variability of the response to each separate color. Photoreceptors constitute the first stage in the processing of color information; many more stages are required before humans can consciously report whether two stimuli are perceived as chromatically distinguishable. Therefore, although photoreceptor absorption curves are expected to influence the accuracy of conscious discriminability, there is no reason to believe that they should suffice to explain it. Herewedevelop information-theoretical tools based on the Fisher metric that demonstrate that photoreceptor absorption properties explain about 87% of the variance of human color discrimination ability, as tested by previous behavioral experiments. In the context of this theory, the bottleneck in chromatic information processing is determined by photoreceptor absorption characteristics. Subsequent encoding stages modify only marginally the chromatic discriminability at the photoreceptor level.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
M I T Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Color
dc.subject
Cones
dc.subject
Discrimination
dc.subject
Fisher Information
dc.subject.classification
Otras Ciencias Biológicas
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Derivation of human chromatic discrimination ability from an information-theoretical notion of distance in color space
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-04-11T19:50:03Z
dc.journal.volume
28
dc.journal.number
12
dc.journal.pagination
2628-2655
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Cambridge
dc.description.fil
Fil: Da Fonseca, María de Los Angeles. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigaciones y Aplicaciones No Nucleares. Gerencia de Física (cab). División Física Estadística; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina
dc.description.fil
Fil: Samengo, Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigaciones y Aplicaciones No Nucleares. Gerencia de Física (cab). División Física Estadística; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina
dc.journal.title
Neural Computation
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00903#.WEytyuYrI2w
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1162/NECO_a_00903
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