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dc.contributor.author Cheney, Karen L.
dc.contributor.author Green, Naomi.F.
dc.contributor.author Vibert, Alexander P.
dc.contributor.author Vorobyev, Misha
dc.contributor.author Marshall, Justin
dc.contributor.author Osorio, Daniel C.
dc.contributor.author Endler, John A.
dc.date.accessioned 2018-10-31T19:18:06Z
dc.date.available 2018-10-31T19:18:06Z
dc.date.issued 2019-01-03
dc.identifier doi:10.5061/dryad.gr38v6r
dc.identifier.citation Cheney KL, Green NF, Vibert AP, Vorobyev M, Marshall J, Osorio DC, Endler JA (2019) An Ishihara-style test of animal colour vision. Journal of Experimental Biology.
dc.identifier.uri http://hdl.handle.net/10255/dryad.193461
dc.description 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, even though animal visual systems differ from our own. Behavioural tests of non-human animals are required to understand how colour signals are perceived by them. 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. These charts consist of dots that vary in colour, brightness and size, and are designed so that a numeral or letter is distinguishable from distractor dots for humans with normal colour vision. 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, and highlight behavioural parameters that can be measured, including success of finding the target dot, time to detect dot and error rate. Triggerfish quickly learnt to select target dots that differed from distractors dots regardless of the particular hue or saturation, and proved to use acute colour vision. We measured discrimination thresholds by testing the detection of target colours that were of increasing colour distances (∆S) from distractor dots 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 seems to be highly effective because it resembles natural foraging behavior for the triggerfish and may well be adaptable to a range of other animals, including mammals, birds, bees and freshwater fish. Other questions may be addressed using this methodology, including luminance thresholds, sensory bias, effects of sensory noise in detection tasks, colour categorization and saliency
dc.relation.haspart doi:10.5061/dryad.gr38v6r/1
dc.relation.haspart doi:10.5061/dryad.gr38v6r/2
dc.relation.haspart doi:10.5061/dryad.gr38v6r/3
dc.relation.haspart doi:10.5061/dryad.gr38v6r/4
dc.relation.haspart doi:10.5061/dryad.gr38v6r/5
dc.relation.haspart doi:10.5061/dryad.gr38v6r/6
dc.relation.haspart doi:10.5061/dryad.gr38v6r/7
dc.relation.haspart doi:10.5061/dryad.gr38v6r/8
dc.relation.isreferencedby doi:10.1242/jeb.189787
dc.subject animal behaviour
dc.subject colour measurement
dc.subject colour vision
dc.title Data from: An Ishihara-style test of animal colour vision
dc.type Article
dc.contributor.correspondingAuthor Cheney, Karen L.
prism.publicationName Journal of Experimental Biology
dryad.dansTransferDate 2018-11-01T05:01:04.914+0000
dryad.dansEditIRI https://easy.dans.knaw.nl/sword2/container/e3cb2a36-d223-43c7-958a-75180107567a
dryad.dansArchiveDate 2018-11-01T06:00:25.522+0000

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