Title :
Spike train decoding scheme for a spiking neural network
Author :
Amin, Hesham H. ; Fujii, Robert H.
Author_Institution :
Dept. of Comput. Eng., Aizu Univ., Aizu-Wakamatsu, Japan
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.
Keywords :
decoding; discrete event systems; neural nets; physiological models; asynchronous input spikes; biological neural system; neuron; spike train decoding scheme; spiking neural network; synapse; Artificial neural networks; Biological neural networks; Biomembranes; Computer networks; Decoding; Electronic mail; Fires; Neural networks; Neurons; Signal processing;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1379956
