The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Photoreceptor sectral sensitivities in terrestrial animals: adaptations for luminance and colour vision
Open accessAbstract
This review outlines how eyes of terrestrial vertebrates and insects meet the competing requirements of coding both spatial and spectral information. There is no unique solution to this problem. Thus, mammals and honeybees use their long-wavelength receptors for both achromatic (luminance) and colour vision, whereas flies and birds probably use separate sets of photoreceptors for the two purposes. In particular, we look at spectral tuning and diversification among ‘long-wavelength’ receptors (sensitivity maxima at greater than 500 nm), which play a primary role in luminance vision. Data on spectral sensitivities and phylogeny of visual photopigments can be incorporated into theoretical models to suggest how eyes are adapted to coding natural stimuli. Models indicate, for example, that animal colour vision—involving five or fewer broadly tuned receptors—is well matched to most natural spectra. We can also predict that the particular objects of interest and signal-to-noise ratios will affect the optimal eye design. Nonetheless, it remains difficult to account for the adaptive significance of features such as co-expression of photopigments in single receptors, variation in spectral sensitivities of mammalian L-cone pigments and the diversification of long-wavelength receptors that has occurred in several terrestrial lineages.
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Cites
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
Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception
Livingstone, M., & Hubel, D. (1988) · Science · doi:10.1126/science.3283936 · Cited by 3,355
T HE E VOLUTION OF C OLOR V ISION IN I NSECTS
Briscoe, A. D., & Chittka, L. (2001) · Annual Review of Entomology · doi:10.1146/annurev.ento.46.1.471 · Cited by 1,415
Receptor noise as a determinant of colour thresholds
Vorobyev, M., & Osorio, D. (1998) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1998.0302 · Cited by 1,266
Self-citationThe Color of Light in Forests and Its Implications
Endler, J. A. (1993) · Ecological Monographs · doi:10.2307/2937121 · Cited by 1,251
LYTHGOE, J. N. (1979) · Medical Entomology and Zoology · Cited by 1,161
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
Animal colour vision — behavioural tests and physiological concepts
KELBER, A., VOROBYEV, M., & OSORIO, D. (2003) · Biological Reviews · doi:10.1017/s1464793102005985 · Cited by 893
Self-citationThe spectral input systems of hymenopteran insects and their receptor-based colour vision
Peitsch, D., Fietz, A., Hertel, H., de Souza, J., Ventura, D. F., & Menzel, R. (1992) · Journal of Comparative Physiology A · doi:10.1007/bf00190398 · Cited by 794
Evaluation of linear models of surface spectral reflectance with small numbers of parameters
Maloney, L. T. (1986) · Journal of the Optical Society of America A · doi:10.1364/josaa.3.001673 · Cited by 746
Cited by
Evolution of vertebrate visual pigments
Bowmaker, J. K. (2008) · Vision Research · doi:10.1016/j.visres.2008.03.025 · Cited by 451
A review of the evolution of animal colour vision and visual communication signals
Osorio, D., & Vorobyev, M. (2008) · Vision Research · doi:10.1016/j.visres.2008.06.018 · Cited by 401
Self-citationEvolution of colour vision in mammals
Jacobs, G. H. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0039 · Cited by 356
Avian Visual Pigments: Characteristics, Spectral Tuning, and Evolution
Hart, N. S., & Hunt, D. M. (2007) · The American Naturalist · doi:10.1086/510141 · Cited by 339
Evolution and spectral tuning of visual pigments in birds and mammals
Hunt, D. M., Carvalho, L. S., Cowing, J. A., & Davies, W. L. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0044 · Cited by 234
Metadata
- Authors
- Osorio, D., & Vorobyev, M.
- Venue
- Proceedings of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2005-07-19
- Volume
- 272
- Issue
- 1574
- Pages
- 1745-1752
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- OpenAlex
- W2166452173
- Cited by
- 414
- References
- 91
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- green
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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).
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