VECTOR CODE DIFFERENCES AND SIMILARITIES

Edelman suggests that any shape is encoded by an excitation vector wit h components corresponding to excitations of corresponding neuronal mo dules. This results in discrimination of stimuli in a shape space of l ow dimensionality. Similar vector encoding is present in color vision. Red-green, blue-yellow, bright and dark neurons are modules that repr esent a number of different color stimuli in color space of low dimens ionality.. Vector encoding allows effective computation of color diffe rences and color similarities. Such a neuronal vector-encoding approac h has also been applied to the perception of visual movement, line ori entation, and stereopsis.