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An Ishihara-style test of animal colour vision

journal contribution
posted on 2019-01-03, 00:00 authored by Karen L Cheney, Naomi F Green, Alexander P Vibert, Misha Vorobyev, N Justin Marshall, Daniel C Osorio, John EndlerJohn Endler
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.

History

Journal

Journal of experimental biology

Volume

222

Issue

1

Article number

jeb189787

Pagination

1 - 8

Publisher

Company of Biologists

Location

Cambridge, Eng.

eISSN

1477-9145

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2019, The Company of Biologists Ltd