Color opponency as the internal representation acquired by a three-layered neural network model

The color representation in the visual system is discussed through the analysis of a three-layered neural network model incorporating physiological evidence of color representation at the sensor level and the perceptual level. The model is trained to perform a mapping between these color representations by a backpropagation algorithm. The acquired characteristics of the hidden units are analyzed. The hidden units learn characteristics similar to those of the color opponent cells found in fish retina and macaque lateral genticulate nucleus (LGN). It is concluded that the R-G and Y-B color opponent representations play an essential role in color information processing by investigating the efficiency of color representation in the hidden layer and the capability of color discrimination task of the model.<<ETX>>

[1]  S. Zeki.  The representation of colours in the cerebral cortex , 1980, Nature.

[2]  Shigeki Nakauchi,et al.  Reconstruction of Munsell color space by a five-layer neural network , 1992 .

[3]  P. Lennie,et al.  Chromatic mechanisms in striate cortex of macaque , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  G. Buchsbaum,et al.  Trichromacy, opponent colours coding and optimum colour information transmission in the retina , 1983, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  J. Pokorny,et al.  Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm , 1975, Vision Research.

[6]  R. L. de Valois.  Contribution of different lateral geniculate cell types to visual behavior. , 1971, Vision research.

[7]  S. R. Lehky,et al.  Neural models of binocular depth perception. , 1990, Cold Spring Harbor symposia on quantitative biology.

[8]  Terrence J. Sejnowski,et al.  Network model of shape-from-shading: neural function arises from both receptive and projective fields , 1988, Nature.

[9]  P. Lennie,et al.  Chromatic mechanisms in lateral geniculate nucleus of macaque. , 1984, The Journal of physiology.

[10]  J. Mollon.  Color vision. , 1982, Annual review of psychology.

[11]  Richard A. Andersen,et al.  A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons , 1988, Nature.

[12]  Leo Maurice Hurvich,et al.  Color vision , 1981 .