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Brightness and Darkness as Perceptual Dimensions

Overview of attention for article published in PLoS Computational Biology, October 2007
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Title
Brightness and Darkness as Perceptual Dimensions
Published in
PLoS Computational Biology, October 2007
DOI 10.1371/journal.pcbi.0030179
Pubmed ID
Authors

Tony Vladusich, Marcel P Lucassen, Frans W Cornelissen

Abstract

A common-sense assumption concerning visual perception states that brightness and darkness cannot coexist at a given spatial location. One corollary of this assumption is that achromatic colors, or perceived grey shades, are contained in a one-dimensional (1-D) space varying from bright to dark. The results of many previous psychophysical studies suggest, by contrast, that achromatic colors are represented as points in a color space composed of two or more perceptual dimensions. The nature of these perceptual dimensions, however, presently remains unclear. Here we provide direct evidence that brightness and darkness form the dimensions of a two-dimensional (2-D) achromatic color space. This color space may play a role in the representation of object surfaces viewed against natural backgrounds, which simultaneously induce both brightness and darkness signals. Our 2-D model generalizes to the chromatic dimensions of color perception, indicating that redness and greenness (blueness and yellowness) also form perceptual dimensions. Collectively, these findings suggest that human color space is composed of six dimensions, rather than the conventional three.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
United States 2 4%
United Kingdom 1 2%
Hungary 1 2%
Italy 1 2%
Luxembourg 1 2%
Unknown 44 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 12 23%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Professor 3 6%
Other 11 21%
Unknown 4 8%
Readers by discipline Count As %
Psychology 15 29%
Agricultural and Biological Sciences 9 17%
Neuroscience 4 8%
Engineering 4 8%
Computer Science 4 8%
Other 11 21%
Unknown 5 10%