Abstract: A neural-simulating system for an image processing system includes a plurality of networks arranged in a plurality of layers, the output signals of ones of the layers provide input signals to the others of the layers. Each of the plurality of layers include a plurality of neurons operating in parallel on the input signals to the layers. The plurality of neurons within a layer are arrange in groups. Each of the neurons within a group operate in parallel on the input signals. Each neuron within a group of neuron operates to extract a specific feature of an area of the image being processed. Each of the neutrons derives output signals from the input signals representing the relative weight of the input signal and a gain weight associated with each of the neurons applied thereto based upon a continuously differential transfer function for each function.