A neural network structure based on pulse-train arithmetic

A Hopfield neural network with a simple structure based on a pulse-train signal arithmetic has been developed. It is both analog and digital in nature and involves hybrid system concepts. It is implemented by using only two types of principle elements, a neuron module and a synapse module. The neural network proposed performs pulse-train signal processing directly. The advantages of this design are a simple operating mechanism, homogeneous implementation and expandability.<
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