Literature DB >> 12217169

The uses of colour vision: behavioural and physiological distinctiveness of colour stimuli.

Andrew M Derrington1, Amanda Parker, Nick E Barraclough, Alexander Easton, G R Goodson, Kris S Parker, Chris J Tinsley, Ben S Webb.   

Abstract

Colour and greyscale (black and white) pictures look different to us, but it is not clear whether the difference in appearance is a consequence of the way our visual system uses colour signals or a by-product of our experience. In principle, colour images are qualitatively different from greyscale images because they make it possible to use different processing strategies. Colour signals provide important cues for segmenting the image into areas that represent different objects and for linking together areas that represent the same object. If this property of colour signals is exploited in visual processing we would expect colour stimuli to look different, as a class, from greyscale stimuli. We would also expect that adding colour signals to greyscale signals should change the way that those signals are processed. We have investigated these questions in behavioural and in physiological experiments. We find that male marmosets (all of which are dichromats) rapidly learn to distinguish between colour and greyscale copies of the same images. The discrimination transfers to new image pairs, to new colours and to image pairs in which the colour and greyscale images are spatially different. We find that, in a proportion of neurons recorded in the marmoset visual cortex, colour-shifts in opposite directions produce similar enhancements of the response to a luminance stimulus. We conclude that colour is, both behaviourally and physiologically, a distinctive property of images.

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Year:  2002        PMID: 12217169      PMCID: PMC1693019          DOI: 10.1098/rstb.2002.1116

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  28 in total

1.  Sensory and cognitive contributions of color to the recognition of natural scenes.

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Journal:  Curr Biol       Date:  2000-06-29       Impact factor: 10.834

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1976-10-19       Impact factor: 6.237

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Authors:  D Marr; E Hildreth
Journal:  Proc R Soc Lond B Biol Sci       Date:  1980-02-29

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Authors:  K R Huxlin; R C Saunders; D Marchionini; H A Pham; W H Merigan
Journal:  Cereb Cortex       Date:  2000-07       Impact factor: 5.357

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Authors:  S Zeki
Journal:  Neuroscience       Date:  1983-08       Impact factor: 3.590

8.  Colour coding in the cerebral cortex: the reaction of cells in monkey visual cortex to wavelengths and colours.

Authors:  S Zeki
Journal:  Neuroscience       Date:  1983-08       Impact factor: 3.590

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Journal:  J Physiol       Date:  1984-12       Impact factor: 5.182

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  5 in total

1.  Active vision in marmosets: a model system for visual neuroscience.

Authors:  Jude F Mitchell; John H Reynolds; Cory T Miller
Journal:  J Neurosci       Date:  2014-01-22       Impact factor: 6.167

2.  Possible functions of contextual modulations and receptive field nonlinearities: pop-out and texture segmentation.

Authors:  Anita M Schmid; Jonathan D Victor
Journal:  Vision Res       Date:  2014-07-24       Impact factor: 1.886

3.  Responses to orientation discontinuities in V1 and V2: physiological dissociations and functional implications.

Authors:  Anita M Schmid; Keith P Purpura; Jonathan D Victor
Journal:  J Neurosci       Date:  2014-03-05       Impact factor: 6.167

Review 4.  The marmoset monkey as a model for visual neuroscience.

Authors:  Jude F Mitchell; David A Leopold
Journal:  Neurosci Res       Date:  2015-02-13       Impact factor: 3.304

5.  Behaviour of marmoset monkeys in a T-maze: comparison with rats and macaque monkeys on a spatial delayed non-match to sample task.

Authors:  A Easton; K Parker; A M Derrington; A Parker
Journal:  Exp Brain Res       Date:  2003-03-21       Impact factor: 1.972

  5 in total

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