A simple neural network structure with good expansibility based on pulse-train arithmetic

The authors discuss the simplification, expansibility, and modularity of a neural network architecture based on pulse-train arithmetic. The simplified architecture is implemented by connecting basic modules in parallel with a single bus line of a control processor. The basic module is composed of a neuron unit and synapse unit. Thus, the expansion of the network can be easily realized by increasing the number of basic modules. The basic operations of this network architecture have been confirmed by computer simulation of the traveling-salesman problem