The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A study of unusual Rayleigh matches in deutan deficiency
Abstract
Rayleigh match data were modeled with the aim of explaining the locations of match midpoints and matching ranges, both in normal trichromats and in subjects with congenital color deficiency. Model parameters included the wavelength of peak sensitivity of cone photopigments, the effective photopigment optical density, and the noise amplitude in the red-green color channel. In order to avoid the suprathreshold, perceptual effects of extreme L:M cone ratios on color vision, selective post-receptoral amplification of cone signals is needed. The associated noise is also amplified and this causes corresponding changes in red-green threshold sensitivity. We propose that the noise amplitude and hence the size of the matching range in normal trichromats relates to the known inter-subject variation in the relative numbers of L and M cones. If this hypothesis can be shown to account for the extremes of the red-green matching range measured in normal trichromats, it is of interest to establish the extent to which it also predicts the unexpected, small matching ranges that are observed in some subjects with red-green color deficiency. A subset of subjects with deutan deficiency that exhibited less common Nagel matches were selected for genetic analysis of their cone pigment genes in order to confirm the type of deficiency, and to predict the corresponding peak wavelength separation (δλ max) of their two, long-wavelength cone pigments. The Rayleigh match model predicted accurately the midpoint and the range for the spectral differences specified by the genes. The prediction also required plausible selection of effective optical density of the cone pigments and noise. The noise needed varied, but the estimates were confined to lie within the limits established from the matching ranges measured in normal trichromats. The model predicts correctly the small matching ranges measured in some deuteranomalous subjects, principally accounted for by a low estimate of noise level in the red-green channel. The model also predicts the “normal” matches made by some subjects that rely on two hybrid genes and therefore exhibit red-green thresholds outside the normal range, typical of mild deuteranomaly.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“There is very good agreement between the deduced photopigment complement and color vision capabilities of people with color vision defects (Barbur, Rodriguez-Carmona, Harlow, Mancuso, Neitz & Neitz, 2008, Neitz et al., 1996, Neitz et al., 2004, Shevell et al., 1998).”
From The genetics of normal and defective color vision (2011) · cites this paper as Barbur, Rodriguez-Carmona, Harlow, Mancuso, Neitz & Neitz, 2008
Experimental — accuracy not yet measuredIn the citing paper
“There is a very good correlation between deuteranomalous behavior in color vision tests and the magnitude of the spectral separation between the underlying L pigments; however, in some cases when people have very small spectral differences between their pigments, discrimination performance as measured by the range of anomaloscope settings accepted as a match is better than might be predicted from”
From The genetics of normal and defective color vision (2011) · cites this paper as Barbur et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Handbook of Sensory Physiology
Sanders, M. D. (1975) · British Journal of Ophthalmology · doi:10.1136/bjo.59.2.111-c · Cited by 7,166
Color Science, Concepts and Methods. Quantitative Data and Formulas
Wright, W. D. (1967) · Physics Bulletin · doi:10.1088/0031-9112/18/10/010 · Cited by 3,540
In search of the visual pigment template
GOVARDOVSKII, V. I., FYHRQUIST, N., REUTER, T., KUZMIN, D. G., & DONNER, K. (2000) · Visual Neuroscience · doi:10.1017/s0952523800174036 · Cited by 1,055
Handbook of Sensory Physiology
Newell, F. W. (1973) · American Journal of Ophthalmology · doi:10.1016/0002-9394(73)90115-3 · Cited by 986
Stockman, A., & Sharpe, L. T. (2000) · Vision Research · doi:10.1016/s0042-6989(00)00021-3 · Cited by 878
Color Science: Concepts and Methods, Quantitative Data and Formulas
Cohen, J., Wyszecki, G., & Stiles, W. S. (1968) · The American Journal of Psychology · doi:10.2307/1420820 · Cited by 518
RESEARCHES ON NORMAL AND DEFECTIVE COLOR VISION
Wright, W. D. (1947) · Optometry and Vision Science · doi:10.1097/00006324-194706000-00009 · Cited by 385
Spectral tuning of pigments underlying red–green color vision
Neitz, M., Neitz, J., & Jacobs, G. H. (1991) · Science · doi:10.1126/science.1903559 · Cited by 382
Self-citationMolecular determinants of human red/green color discrimination
Asenjo, A. B., Rim, J., & Oprian, D. D. (1994) · Neuron · doi:10.1016/0896-6273(94)90320-4 · Cited by 367
Organization of the human trichromatic cone mosaic
Hofer, H., Carroll, J., Neitz, J., Neitz, M., & Williams, D. R. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2414-05.2005 · Cited by 364
Self-citation
Research works printed but not linked: 3
- Pokorny, 1987, L/M cone ratios and the null point of the perceptual red/green opponent system, Die Farbe, 34, 53
- Franceschetti, 1928, Die Bedeutung der Einstellungsbreite am Anomaloskop fur die Diagnose der eizelnen Typen der Farbensinnstorungen nebst Bemerkungen uber ihre Vererbungsmodus, Swiss Medical Weekly, 52, 1273
- Rodriguez-Carmona, 2005, The variability of normal trichromatic vision and the establishment of the “normal” range, 979
Cited by
The genetics of normal and defective color vision
Neitz, J., & Neitz, M. (2011) · Vision Research · doi:10.1016/j.visres.2010.12.002 · Cited by 377
Self-citation
Metadata
- Authors
- BARBUR, J. L., RODRIGUEZ-CARMONA, M., HARLOW, J. A., MANCUSO, K., NEITZ, J., & NEITZ, M.
- Venue
- Visual Neuroscience
- Publisher
- Maximum Academic Press
- Published
- 2008-05
- Volume
- 25
- Issue
- 3
- Pages
- 507-516
- ISSN
- 0952-5238
- 1469-8714
- Cited by
- 51
- References
- 46
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.