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Trichromacy, opponent colours coding and optimum colour information transmission in the retina
Abstract
This paper presents a systematic analysis of the role of opponent type processing in colour vision and the relation between opponent type colour transformations and the initial three colour mechanisms. It is shown that efficient information transmission is achieved by a transformation of the initial three colour mechanisms into an achromatic and two opponent chromatic channels. The derivation of the transformation is dependent solely on criteria from information theory. Thus it provides a logical rationale reconciling opponent type processing as an optimal necessary step after the initial three colour mechanisms, unifying respectively the Hering and Young-Helmholtz approaches to colour vision. The effects of chromatic adaptation on the spectral response of the achromatic and two chromatic channels are discussed from the point of view of information theory. It is argued that adaptation serves as a dynamic readjustment of these responses, necessary to meet criteria of efficient colour information transmission. The results are confronted with empirical observations to test the principles of the theory and the relation to other theories is discussed. Within the same framework the issue of trichromacy is discussed. It is argued that a broad class of typical colour spectra can effectively be represented by three significant degrees of freedom that make up a trichromatic system.
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Cited by
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483
Canonical Microcircuits for Predictive Coding
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“The most popular scheme—for Bayesian filtering in neuronal circuits—is predictive coding (Srinivasan et al., 1982; Buchsbaum and Gottschalk, 1983; Rao and Ballard, 1999).”
Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
Could information theory provide an ecological theory of sensory processing?
Atick, J. J. (2011) · Network: Computation in Neural Systems · doi:10.3109/0954898x.2011.638888 · Cited by 679
Visual Perception and the Statistical Properties of Natural Scenes
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Metadata
- Authors
- Buchsbaum, G., & Gottschalk, A.
- Venue
- Proceedings of the Royal Society of London. Series B. Biological Sciences
- Publisher
- The Royal Society
- Published
- 1983-11-22
- Volume
- 220
- Issue
- 1218
- Pages
- 89-113
- ISSN
- 0080-4649 (ISSN-L)
- 2053-9193
- OpenAlex
- W1997604630
- Cited by
- 512
- References
- 46
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- royalsociety.org/journals/ethics-policies/data-sharing-mining/ (tdm)
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