VISUAL MODELING

The first purpose of this paper is to present a neural net model of th e visual cortex of higher vertebrates based on the electrophysiologica l properties of the ganglion cells. This model takes Hebb's law [1] as the physiological learning rule for synaptic modification. The model consists of 85 x 85 neurons forming a layer similar to the cortex. The neurones are massively connected via weights that are typically adapt ed. We simulate several input patterns and show that the model reprodu ces the pattern recognition, contours pictures and moving perception.