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Abstract:
We examine the implications of the hypothesis that color information in the cortex is adaptively coded into a factorial (statistically independent) and gain-controlled representation. We show that this hypothesis explains the results of the recent experiments by Webster and Mollon [(1991) Nature, 349, 235–238] on changes in color appearance following post-receptoral adaptation. We also give a neural network with a deterministically convergent, unsupervised learning algorithm that reproduces the adaptation observed.
