Evidence map›Paper›PMID 28025051›Full record

ArticleVision research2017

Variations in normal color vision. VI. Factors underlying individual differences in hue scaling and their implications for models of color appearance.

Kara J Emery, Vicki J Volbrecht, David H Peterzell, Michael A Webster

Open access · greenAbstract read
In one paragraph

Article in Vision research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Cone-Opponent Ganglion Cells in the Primate Fovea Tuned to Noncardinal Color Directions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Fundamentally different representations of color and motion revealed by individual differences in perceptual scaling.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Ensemble coding of color and luminance contrast.Attention, perception & psychophysics · 2021
    Article
  18. Article
  19. When illusions merge.Journal of vision · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Kara J EmeryGraduate Program in Integrative Neuroscience, University of Nevada, Reno, Reno, NV 89557, United States.
Vicki J VolbrechtDepartment of Psychology, Colorado State University, Fort Collins, CO 80523, United States.
David H PeterzellCollege of Psychology, John F. Kennedy University, Pleasant Hill, CA 94624, United States.
Michael A WebsterGraduate Program in Integrative Neuroscience, University of Nevada, Reno, Reno, NV 89557, United States; Department of Psychology, University of Nevada, Reno, Reno, NV 89557, United States. Electronic address: mwebster@unr.edu.
University of Nevada, Reno · USColorado State University · USJohn F. Kennedy University · US

Funding

SALIENCE, ADAPTATION, AND NATURAL IMAGE STATISTICSR01EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2000 to 2023
$4.6M
COLOR CONTRAST ADAPTATIONR29EY010834 · NEI · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 1995 to 1999
–
NEI NIH HHS R01 EY010834NEI NIH HHS R29 EY010834
6 · The paper itself

Abstract

Observers with normal color vision vary widely in their judgments of color appearance, such as the specific spectral stimuli they perceive as pure or unique hues. We examined the basis of these individual differences by using factor analysis to examine the variations in hue-scaling functions from both new and previously published data. Observers reported the perceived proportion of red, green, blue or yellow in chromatic stimuli sampling angles at fixed intervals within the LM and S cone-opponent plane. These proportions were converted to hue angles in a perceptual-opponent space defined by red vs. green and blue vs. yellow axes. Factors were then extracted from the correlation matrix using PCA and Varimax rotation. These analyses revealed that inter-observer differences depend on seven or more narrowly-tuned factors. Moreover, although the task required observers to decompose the stimuli into four primary colors, there was no evidence for factors corresponding to these four primaries, or for opponent relationships between primaries. Perceptions of "redness" in orange, red, and purple, for instance, involved separate factors rather than one shared process for red. This pattern was compared to factor analyses of Monte Carlo simulations of the individual differences in scaling predicted by variations in standard opponent mechanisms, such as their spectral tuning or relative sensitivity. The observed factor pattern is inconsistent with these models and thus with conventional accounts of color appearance based on the Hering primaries. Instead, our analysis points to a perceptual representation of color in terms of multiple mechanisms or decision rules that each influence the perception of only a relatively narrow range of hues, potentially consistent with a population code for color suggested by cortical physiology.

Indexed as

Models, TheoreticalAdolescentAdultColor PerceptionColor VisionFactor Analysis, StatisticalFemaleHumansIndividualityMaleMiddle AgedMonte Carlo MethodPhotic StimulationYoung AdultColorColor appearanceColor opponencyFactor analysisIndividual differences

Identifiers

PMID28025051
PMCPMC5495633
OpenAlexW2568002509

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.