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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  
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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