Literature DB >> 28866838

The path to colour discrimination is S-shaped: behaviour determines the interpretation of colour models.

Jair E Garcia1, Johannes Spaethe2, Adrian G Dyer3.   

Abstract

Most of our current understanding on colour discrimination by animal observers is built on models. These typically set strict limits on the capacity of an animal to discriminate between colour stimuli imposed by physiological characteristics of the visual system and different assumptions about the underlying mechanisms of colour processing by the brain. Such physiologically driven models were not designed to accommodate sigmoidal-type discrimination functions as those observed in recent behavioural experiments. Unfortunately, many of the fundamental assumptions on which commonly used colour models are based have been tested against empirical data for very few species and many colour vision studies solely rely on physiological measurements of these species for predicting colour discrimination processes. Here, we test the assumption of a universal principle of colour discrimination only mediated by physiological parameters using behavioural data from four closely related hymenopteran species, considering two frequently used models. Results indicate that there is not a unique function describing colour discrimination by closely related bee species, and that this process is independent of specific model assumptions; in fact, different models produce comparable results for specific test species if calibrated against behavioural data.

Keywords:  Bee; Hexagon; Receptor noise; Sigmoidal; Vision

Mesh:

Year:  2017        PMID: 28866838     DOI: 10.1007/s00359-017-1208-2

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  47 in total

Review 1.  The evolution of color vision in insects.

Authors:  A D Briscoe; L Chittka
Journal:  Annu Rev Entomol       Date:  2001       Impact factor: 19.686

2.  Color opponent coding in the visual system of the honeybee.

Authors:  W Backhaus
Journal:  Vision Res       Date:  1991       Impact factor: 1.886

3.  Metric analysis of threshold spectral sensitivity in the honeybee.

Authors:  R Brandt; M Vorobyev
Journal:  Vision Res       Date:  1997-02       Impact factor: 1.886

4.  Toward a universal law of generalization for psychological science.

Authors:  R N Shepard
Journal:  Science       Date:  1987-09-11       Impact factor: 47.728

Review 5.  Simple exponential functions describing the absorbance bands of visual pigment spectra.

Authors:  D G Stavenga; R P Smits; B J Hoenders
Journal:  Vision Res       Date:  1993-05       Impact factor: 1.886

6.  Differences in photoreceptor processing speed for chromatic and achromatic vision in the bumblebee, Bombus terrestris.

Authors:  Peter Skorupski; Lars Chittka
Journal:  J Neurosci       Date:  2010-03-17       Impact factor: 6.167

7.  Colour thresholds and receptor noise: behaviour and physiology compared.

Authors:  M Vorobyev; R Brandt; D Peitsch; S B Laughlin; R Menzel
Journal:  Vision Res       Date:  2001-03       Impact factor: 1.886

8.  Aversive reinforcement improves visual discrimination learning in free-flying honeybees.

Authors:  Aurore Avarguès-Weber; Maria G de Brito Sanchez; Martin Giurfa; Adrian G Dyer
Journal:  PLoS One       Date:  2010-10-15       Impact factor: 3.240

9.  Avian colour vision: effects of variation in receptor sensitivity and noise data on model predictions as compared to behavioural results.

Authors:  Olle Lind; Almut Kelber
Journal:  Vision Res       Date:  2009-05-19       Impact factor: 1.886

10.  Color Difference and Memory Recall in Free-Flying Honeybees: Forget the Hard Problem.

Authors:  Adrian G Dyer; Jair E Garcia
Journal:  Insects       Date:  2014-07-30       Impact factor: 2.769

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  16 in total

1.  Colour preferences of Tetragonula carbonaria Sm. stingless bees for colour morphs of the Australian native orchid Caladenia carnea.

Authors:  Adrian G Dyer; Skye Boyd-Gerny; Mani Shrestha; Jair E Garcia; Casper J van der Kooi; Bob B M Wong
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2019-05-29       Impact factor: 1.836

2.  Dominant pollinators drive non-random community assembly and shared flower colour patterns in daisy communities.

Authors:  Jurene E Kemp; Nicola G Bergh; Muri Soares; Allan G Ellis
Journal:  Ann Bot       Date:  2019-01-23       Impact factor: 4.357

3.  Does conspicuousness scale linearly with colour distance? A test using reef fish.

Authors:  Carl Santiago; Naomi F Green; Nadia Hamilton; John A Endler; Daniel C Osorio; N Justin Marshall; Karen L Cheney
Journal:  Proc Biol Sci       Date:  2020-09-16       Impact factor: 5.349

4.  Signal or cue: the role of structural colors in flower pollination.

Authors:  Jair E Garcia; Mani Shrestha; Scarlett R Howard; Phred Petersen; Adrian G Dyer
Journal:  Curr Zool       Date:  2018-12-13       Impact factor: 2.624

5.  Floral colour structure in two Australian herbaceous communities: it depends on who is looking.

Authors:  Mani Shrestha; Adrian G Dyer; Jair E Garcia; Martin Burd
Journal:  Ann Bot       Date:  2019-09-24       Impact factor: 4.357

6.  Australian native flower colours: Does nectar reward drive bee pollinator flower preferences?

Authors:  Mani Shrestha; Jair E Garcia; Martin Burd; Adrian G Dyer
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

7.  Randomly weighted receptor inputs can explain the large diversity of colour-coding neurons in the bee visual system.

Authors:  Vera Vasas; Fei Peng; HaDi MaBouDi; Lars Chittka
Journal:  Sci Rep       Date:  2019-06-06       Impact factor: 4.379

8.  Prey and predators perceive orb-web spider conspicuousness differently: evaluating alternative hypotheses for color polymorphism evolution.

Authors:  Nathalia G Ximenes; Felipe M Gawryszewski
Journal:  Curr Zool       Date:  2018-09-06       Impact factor: 2.624

9.  Psychophysics of the hoverfly: categorical or continuous color discrimination?

Authors:  Lea Hannah; Adrian G Dyer; Jair E Garcia; Alan Dorin; Martin Burd
Journal:  Curr Zool       Date:  2019-03-15       Impact factor: 2.624

10.  Color vision models: Some simulations, a general n-dimensional model, and the colourvision R package.

Authors:  Felipe M Gawryszewski
Journal:  Ecol Evol       Date:  2018-07-22       Impact factor: 2.912

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