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https://doi.org/10.1101/382051...
Article . 2018 . Peer-reviewed
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Article . 2019
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Article . 2019
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An Ishihara-style test of animal colour vision

Authors: Karen L. Cheney; Naomi F. Green; Alexander P. Vibert; Misha Vorobyev; N. Justin Marshall; Daniel C. Osorio; John A. Endler;

An Ishihara-style test of animal colour vision

Abstract

ABSTRACT Colour vision mediates ecologically relevant tasks for many animals, such as mate choice, foraging and predator avoidance. However, our understanding of animal colour perception is largely derived from human psychophysics, and behavioural tests of non-human animals are required to understand how colour signals are perceived. Here, we introduce a novel test of colour vision in animals inspired by the Ishihara colour charts, which are widely used to identify human colour deficiencies. In our method, distractor dots have a fixed chromaticity (hue and saturation) but vary in luminance. Animals can be trained to find single target dots that differ from distractor dots in chromaticity. We provide MATLAB code for creating these stimuli, which can be modified for use with different animals. We demonstrate the success of this method with triggerfish, Rhinecanthus aculeatus, which quickly learnt to select target dots that differed from distractor dots, and highlight behavioural parameters that can be measured, including success of finding the target dot, time to detection and error rate. We calculated discrimination thresholds by testing whether target colours that were of increasing colour distances (ΔS) from distractor dots could be detected, and calculated discrimination thresholds in different directions of colour space. At least for some colours, thresholds indicated better discrimination than expected from the receptor noise limited (RNL) model assuming 5% Weber fraction for the long-wavelength cone. This methodology could be used with other animals to address questions such as luminance thresholds, sensory bias, effects of sensory noise, colour categorization and saliency.

Countries
Australia, United States
Keywords

1109 Insect Science, Evolution, Physiology, Colour measurement, Medical and Health Sciences, Models, Biological, 1105 Ecology, Behavior and Systematics, Models, 1312 Molecular Biology, Animals, Visual ecology, 1104 Aquatic Science, Color Vision, Tetraodontiformes, 1314 Physiology, Biological Sciences, Animal behaviour, Biological, 1105 Ecology, Evolution, Behavior and Systematics, Spectrophotometry, Sensory Thresholds, QZ, Retinal Cone Photoreceptor Cells, Colour vision assessment, 1103 Animal Science and Zoology, Color Perception

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    40
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
Green
bronze