Implementation of simple neural network system based on pulse-train arithmetic

In this paper, implementation and operation of a simplified Hopfield type neural network system based on pulse-train arithmetic are presented. The narrow module proposed here as a basic building block is composed of a pair of neuron unit and synapse unit, which performs time-division multiple operation. The Hopfield type neural network is implemented by connecting the neuron modules in parallel with a single bus line, so that this structure can considerably reduce a mass of hardware. In particular, the network can easily be extended to more practical systems from the simple structure