Application of information pulse-frequency coding in neural networks

Abstract

This article examines artificial neurons’ input and output signals coding with a pulse sequence frequency. The multiplication quick-action is estimated. The synaptic signals noise stability is analyzed. A neuron input and synaptic weight multiplier circuit diagram using bipolar transistors is proposed.