@Inbook{C.AlejandroParraga2014,
author="C. Alejandro Parraga",
editor="Dieter Jaeger
and Ranu Jung",
chapter="Color Vision, Computational Methods for",
title="Encyclopedia of Computational Neuroscience",
year="2014",
publisher="Springer-Verlag Berlin Heidelberg",
pages="1--11",
optkeywords="Color computational vision",
optkeywords="Computational neuroscience of color",
abstract="The study of color vision has been aided by a whole battery of computational methods that attempt to describe the mechanisms that lead to our perception of colors in terms of the information-processing properties of the visual system. Their scope is highly interdisciplinary, linking apparently dissimilar disciplines such as mathematics, physics, computer science, neuroscience, cognitive science, and psychology. Since the sensation of color is a feature of our brains, computational approaches usually include biological features of neural systems in their descriptions, from retinal light-receptor interaction to subcortical color opponency, cortical signal decoding, and color categorization. They produce hypotheses that are usually tested by behavioral or psychophysical experiments.",
optnote="CIC; 600.074",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2512), last updated on Tue, 14 Jul 2015 10:48:53 +0200",
isbn="978-1-4614-7320-6",
doi="10.1007/978-1-4614-7320-6_8-2"
}