Spike train decoding scheme for a spiking neural network

Abstract

A spiking neural network models a type of biological neural system in which spike trains are used to convey information, is presented. A spike train consists of a series of asynchronous input spikes which are input into a neuron through a synapse. A new decoding scheme which can uniquely distinguish spike trains by using the relative spike arrival times in a spike train is proposed. Only a limited number of neurons are needed to implement the decoding scheme.