Literature DB >> 16277280

Do common mechanisms of adaptation mediate color discrimination and appearance? Uniform backgrounds.

James M Hillis1, David H Brainard.   

Abstract

Color vision is useful for detecting surface boundaries and identifying objects. Are the signals used to perform these two functions processed by common mechanisms, or has the visual system optimized its processing separately for each task? We measured the effect of mean chromaticity and luminance on color discriminability and on color appearance under well-matched stimulus conditions. In the discrimination experiments, a pedestal spot was presented in one interval and a pedestal + test in a second. Observers indicated which interval contained the test. In the appearance experiments, observers matched the appearance of test spots across a change in background. We analyzed the data using a variant of Fechner's proposal, that the rate of apparent stimulus change is proportional to visual sensitivity. We found that saturating visual response functions together with a model of adaptation that included multiplicative gain control and a subtractive term accounted for data from both tasks. This result suggests that effects of the contexts we studied on color appearance and discriminability are controlled by the same underlying mechanism.

Mesh:

Year:  2005        PMID: 16277280      PMCID: PMC1815483          DOI: 10.1364/josaa.22.002090

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  44 in total

1.  Detection of chromoluminance patterns on chromoluminance pedestals I: threshold measurements.

Authors:  C Chen; J M Foley; D H Brainard
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  Control of chromatic adaptation: signals from separate cone classes interact.

Authors:  P B Delahunt; D H Brainard
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

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Authors:  V C Smith; J Pokorny
Journal:  Vision Res       Date:  1975-02       Impact factor: 1.886

4.  Macular pigment density and distribution: comparison of fundus autofluorescence with minimum motion photometry.

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Journal:  Vision Res       Date:  2003-07       Impact factor: 1.886

5.  Chromatic light adaptation measured using functional magnetic resonance imaging.

Authors:  Alex R Wade; Brian A Wandell
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

6.  Optical density spectra of the macular pigment in vivo and in vitro.

Authors:  R A Bone; J T Landrum; A Cains
Journal:  Vision Res       Date:  1992-01       Impact factor: 1.886

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Authors:  J Walraven
Journal:  Vision Res       Date:  1976       Impact factor: 1.886

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Authors:  M A Webster; J D Mollon
Journal:  Nature       Date:  1991-01-17       Impact factor: 49.962

9.  Adaptive orthogonalization of opponent-color signals.

Authors:  Q Zaidi; A G Shapiro
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

10.  Contrast masking in human vision.

Authors:  G E Legge; J M Foley
Journal:  J Opt Soc Am       Date:  1980-12
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  10 in total

1.  Distinct mechanisms mediate visual detection and identification.

Authors:  James M Hillis; David H Brainard
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2.  Do common mechanisms of adaptation mediate color discrimination and appearance? Contrast adaptation.

Authors:  James M Hillis; David H Brainard
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-08       Impact factor: 2.129

3.  The color appearance of stimuli detected via short-wavelength-sensitive cones: comparisons with visual adaptation and visual field data for peri- or post-menopausal women under 70 years of age.

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4.  The relation between color discrimination and color constancy: when is optimal adaptation task dependent?

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Journal:  Atten Percept Psychophys       Date:  2015-07       Impact factor: 2.199

7.  Derivatives and inverse of cascaded linear+nonlinear neural models.

Authors:  M Martinez-Garcia; P Cyriac; T Batard; M Bertalmío; J Malo
Journal:  PLoS One       Date:  2018-10-15       Impact factor: 3.240

8.  Equivalent noise characterization of human lightness constancy.

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9.  Visual aftereffects and sensory nonlinearities from a single statistical framework.

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Journal:  Front Hum Neurosci       Date:  2015-10-13       Impact factor: 3.169

10.  The effect of background and illumination on color identification of real, 3D objects.

Authors:  Sarah R Allred; Maria Olkkonen
Journal:  Front Psychol       Date:  2013-11-11
  10 in total

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