DocumentCode :
1091005
Title :
Neuron model with potential applications in pulse-stream neural nets
Author :
Gan, Q. ; Wei, Y.
Author_Institution :
Dept. of Biomed. Eng., Southeast Univ., Nanjing, China
Volume :
28
Issue :
8
fYear :
1992
fDate :
4/9/1992 12:00:00 AM
Firstpage :
755
Lastpage :
756
Abstract :
A variant of the FitzHugh-Nagumo model is proposed. Computer simulation results show that the variant neuron model has the property that its threshold, refractory period and response amplitude can be dynamically adjusted. Some problems related to collective property, learning and implementation of the neural network based on the proposed neuron model are discussed. It is noted that the variant model has potential applications in pulse-stream neural networks.
Keywords :
brain models; learning systems; neural nets; FitzHugh-Nagumo model; collective property; learning; pulse-stream neural nets; refractory period; response amplitude; threshold; variant neuron model;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19920477
Filename :
133116
Link To Document :
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