The biological basis of the experience and categorization of colour.

Bayesian operations colour vision constant categorization

Journal

The European journal of neuroscience
ISSN: 1460-9568
Titre abrégé: Eur J Neurosci
Pays: France
ID NLM: 8918110

Informations de publication

Date de publication:
01 2020
Historique:
received: 01 04 2019
revised: 12 08 2019
accepted: 15 08 2019
pubmed: 23 8 2019
medline: 22 6 2021
entrez: 23 8 2019
Statut: ppublish

Résumé

We used the Land Colour Mondrian experiments in a Bayesian context to test the degree to which subjects vary in categorizing the colour of different patches, when each patch is made to reflect light of the identical wavelength-energy composition. The brain uses a ratio-taking mechanism to determine the ratio of light of every waveband reflected from a surface and from its surrounds. Our (Bayesian) hypothesis was that this ratio-taking mechanism is similar in all humans and therefore leads to a constant categorization of colours that differs little between them. The similarly categorized colours are the initial priors, with initial hues attached to them. Twenty subjects of different ethnic and cultural backgrounds, for all but one of whom English was not the primary language, viewed eight patches of different colour in two Mondrian displays; each patch, when viewed, was made to reflect identical ratios of long-, middle- and short-wave light. Subjects were asked to match the colour of the viewed patch with that of the Munsell chip coming closest in colour to that of the viewed patch, without using language. In terms of hue, there was less variability in matching warm hues than cool ones. In terms of colour categorization, there was little variability overall. We take the lack of significant variability between subjects in the matches made as a pointer to similar computational mechanisms being employed in different subjects to perceive colours, thus permitting them to assume that their categorization of colours has universal agreement and assent.

Identifiants

pubmed: 31437870
doi: 10.1111/ejn.14557
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

670-680

Informations de copyright

© 2019 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

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Auteurs

Semir Zeki (S)

Laboratory of Neurobiology, University College London, London, UK.

Alexandre Javier (A)

Laboratory of Neurobiology, University College London, London, UK.

Dimitris Mylonas (D)

Department of Computer Science, University College London, London, UK.

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