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A Bayesian Model of the Memory Colour Effect

Witzel, Christoph; Olkkonen, Maria; Gegenfurtner, Karl R.

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Authors

Christoph Witzel

Maria Olkkonen

Karl R. Gegenfurtner



Abstract

According to the memory colour effect, the colour of a colour-diagnostic object is not perceived independently of the object itself. Instead, it has been shown through an achromatic adjustment method that colour-diagnostic objects still appear slightly in their typical colour, even when they are colourimetrically grey. Bayesian models provide a promising approach to capture the effect of prior knowledge on colour perception and to link these effects to more general effects of cue integration. Here, we model memory colour effects using prior knowledge about typical colours as priors for the grey adjustments in a Bayesian model. This simple model does not involve any fitting of free parameters. The Bayesian model roughly captured the magnitude of the measured memory colour effect for photographs of objects. To some extent, the model predicted observed differences in memory colour effects across objects. The model could not account for the differences in memory colour effects across different levels of realism in the object images. The Bayesian model provides a particularly simple account of memory colour effects, capturing some of the multiple sources of variation of these effects.

Citation

Witzel, C., Olkkonen, M., & Gegenfurtner, K. R. (2018). A Bayesian Model of the Memory Colour Effect. i-Perception, 9(3), Article 204166951877171. https://doi.org/10.1177/2041669518771715

Journal Article Type Article
Acceptance Date Mar 28, 2018
Online Publication Date May 7, 2018
Publication Date May 7, 2018
Deposit Date May 24, 2018
Publicly Available Date Mar 29, 2024
Journal i-Perception
Electronic ISSN 2041-6695
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 9
Issue 3
Article Number 204166951877171
DOI https://doi.org/10.1177/2041669518771715

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Creative Commons CC-BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).





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