Literature DB >> 10975363

Variations in normal color vision. I. Cone-opponent axes.

M A Webster1, E Miyahara, G Malkoc, V E Raker.   

Abstract

Early postreceptoral color vision is thought to be organized in terms of two principal axes corresponding to opposing L- and M-cone signals (LvsM) or to S-cone signals opposed by a combination of L- and M-cone signals (SvsLM). These cone-opponent axes are now widely used in studies of color vision, but in most cases the corresponding stimulus variations are defined only theoretically, based on a standard observer. We examined the range and implications of interobserver variations in the cone-opponent axes. We used chromatic adaptation to empirically define the LvsM and SvsLM axes and used both thresholds and color contrast adaptation to determine sensitivity to the axes. We also examined the axis variations implied by individual differences in the color matching data of Stiles and Burch [Opt. Acta 6, 1 (1959)]. The axes estimated for individuals can differ measurably from the nominal standard-observer axes and can influence the interpretation of postreceptoral color organization (e.g., regarding interactions between the two axes). Thus, like luminance sensitivity, individual differences in chromatic sensitivity may be important to consider in studies of the cone-opponent axes.

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Year:  2000        PMID: 10975363     DOI: 10.1364/josaa.17.001535

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


  19 in total

1.  How to use individual differences to isolate functional organization, biology, and utility of visual functions; with illustrative proposals for stereopsis.

Authors:  Jeremy B Wilmer
Journal:  Spat Vis       Date:  2008

2.  Individual differences in visual science: What can be learned and what is good experimental practice?

Authors:  John D Mollon; Jenny M Bosten; David H Peterzell; Michael A Webster
Journal:  Vision Res       Date:  2017-11-16       Impact factor: 1.886

3.  Predicting color matches from luminance matches.

Authors:  Kassandra R Lee; Alex J Richardson; Eric Walowit; Michael A Crognale; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2020-04-01       Impact factor: 2.129

4.  The Verriest Lecture: Adventures in blue and yellow.

Authors:  Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2020-04-01       Impact factor: 2.129

Review 5.  The genetics of normal and defective color vision.

Authors:  Jay Neitz; Maureen Neitz
Journal:  Vision Res       Date:  2010-12-15       Impact factor: 1.886

6.  The perceptual balance of color.

Authors:  Kyle C McDermott; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

7.  Individual and age-related variation in chromatic contrast adaptation.

Authors:  Sarah L Elliott; John S Werner; Michael A Webster
Journal:  J Vis       Date:  2012-08-17       Impact factor: 2.240

8.  Adaptation and perceptual norms in color vision.

Authors:  Michael A Webster; Deanne Leonard
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-11       Impact factor: 2.129

9.  Dynamics of color contrast adaptation.

Authors:  Katherine Tregillus; Michael A Webster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-04-01       Impact factor: 2.129

10.  Neurobiological hypothesis of color appearance and hue perception.

Authors:  Brian P Schmidt; Maureen Neitz; Jay Neitz
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-04-01       Impact factor: 2.129

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