Design of a solid-state neuron circuit for use in self-organizing systems

The artificial neuron or information-processing cell was designed primarily as a component for experimental neuron-network studies. With minor additions, it could be used for perceptron-type experiments. Each cell has ten exciting and ten inhibiting inputs, and each input has a separate weight associated with it. The operation of the cell depends upon the difference, between the weighted sums of the exciting and the inhibiting input signals.