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Human vision is determined based on information theory.
Delgado-Bonal, Alfonso; Martín-Torres, Javier.
Afiliación
  • Delgado-Bonal A; Instituto Andaluz de Ciencias de la Tierra (CSIC-UGR), Avda. de Las Palmeras no. 4, Armilla, 18100, Granada, Spain.
  • Martín-Torres J; Universidad de Salamanca, Instituto de Física Fundamental y Matemáticas, Pza de la Merced S/N, 37008, Salamanca, Spain.
Sci Rep ; 6: 36038, 2016 11 03.
Article en En | MEDLINE | ID: mdl-27808236
ABSTRACT
It is commonly accepted that the evolution of the human eye has been driven by the maximum intensity of the radiation emitted by the Sun. However, the interpretation of the surrounding environment is constrained not only by the amount of energy received but also by the information content of the radiation. Information is related to entropy rather than energy. The human brain follows Bayesian statistical inference for the interpretation of visual space. The maximization of information occurs in the process of maximizing the entropy. Here, we show that the photopic and scotopic vision absorption peaks in humans are determined not only by the intensity but also by the entropy of radiation. We suggest that through the course of evolution, the human eye has not adapted only to the maximum intensity or to the maximum information but to the optimal wavelength for obtaining information. On Earth, the optimal wavelengths for photopic and scotopic vision are 555 nm and 508 nm, respectively, as inferred experimentally. These optimal wavelengths are determined by the temperature of the star (in this case, the Sun) and by the atmospheric composition.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Visión Ocular / Teoría de la Información Límite: Humans Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Visión Ocular / Teoría de la Información Límite: Humans Idioma: En Revista: Sci Rep Año: 2016 Tipo del documento: Article País de afiliación: España
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