Simulation of a Neural Network for Adaptive Colour Perception by N. Ioannides, N. Paritsis, C. P. Meletis.
The basic network’s unit (neuron) have been designed using a number of logical elements. This neuron has simulated and tested previously. In the network model three neurons for colour coding are used at each point visual field. Three levels considered. final level “recognizes” as in dimensional space outputs neurons. Two them mainly encode hue third one encodes luminosity. Colour contrast is addition set neurons, so-called “adaptors”, type Each adaptor receives excitatory inputs from same then inhibits them. present simulation model, 57 6 points results shown that “perceives” colours exhibits adaptive properties constancy.KeywordsColour VisionColour ContrastColour PerceptionLogical ElementUndesirable FeatureThese keywords were added by machine not authors. process experimental may be updated learning algorithm improves.
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