» Articles » PMID: 27808236

Human Vision is Determined Based on Information Theory

Overview
Journal Sci Rep
Specialty Science
Date 2016 Nov 4
PMID 27808236
Citations 8
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Approaching the general quantification of functional information.

Kudelic R Sci Rep. 2025; 15(1):4792.

PMID: 39922966 PMC: 11807100. DOI: 10.1038/s41598-025-89487-y.


Skin Phototype Classification with Machine Learning Based on Broadband Optical Measurements.

Yu X, Ong K, McGeehan M Sensors (Basel). 2024; 24(22).

PMID: 39599172 PMC: 11598237. DOI: 10.3390/s24227397.


Dermoscopy and skin imaging light sources: a comparison and review of spectral power distribution and color consistency.

Hanlon K, Wei G, Correa-Selm L, Grichnik J J Biomed Opt. 2022; 27(8):080902.

PMID: 36452032 PMC: 9360608. DOI: 10.1117/1.JBO.27.8.080902.


A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model.

Santos C, Aguiar M, Welfer D, Belloni B Sensors (Basel). 2022; 22(17).

PMID: 36080898 PMC: 9460625. DOI: 10.3390/s22176441.


Entropy, Amnesia, and Abnormal Déjà Experiences.

Frankle L Front Psychol. 2022; 13:794683.

PMID: 35967717 PMC: 9364811. DOI: 10.3389/fpsyg.2022.794683.


References
1.
Pouget A, Beck J, Ma W, Latham P . Probabilistic brains: knowns and unknowns. Nat Neurosci. 2013; 16(9):1170-8. PMC: 4487650. DOI: 10.1038/nn.3495. View

2.
Yang Z, Purves D . A statistical explanation of visual space. Nat Neurosci. 2003; 6(6):632-40. DOI: 10.1038/nn1059. View

3.
Lee M, Jago J, Garcia-Bellido D, Edgecombe G, Gehling J, Paterson J . Modern optics in exceptionally preserved eyes of Early Cambrian arthropods from Australia. Nature. 2011; 474(7353):631-4. DOI: 10.1038/nature10097. View

4.
Yang Z, Purves D . The statistical structure of natural light patterns determines perceived light intensity. Proc Natl Acad Sci U S A. 2004; 101(23):8745-50. PMC: 437094. DOI: 10.1073/pnas.0402192101. View

5.
Najemnik J, Geisler W . Optimal eye movement strategies in visual search. Nature. 2005; 434(7031):387-91. DOI: 10.1038/nature03390. View