Integrate-and-fire-type digital spiking neuron and its learning for spike-pattern-division multiplex communication

A digital spiking neuron is a wired system of shift registers that can generate spike-trains with various spike patterns by adjusting its wiring pattern. In this paper, a novel theoretical synthesis method of the digital neuron that can be applied to spike-pattern division multiplex communications in an artificial pulse-coupled neural network is presented. A novel learning algorithm of the digital neuron for realization of better communication performances is also presented. It is shown that our digital neuron can have some higher flexibilities than a code theoretic spike pattern design method.