DocumentCode
328183
Title
Complexity of a "simple" realistic neural network model
Author
Gu, Fanji ; Ruan, Jiong
Author_Institution
Dept. of Physiol. & Biophys., Fudan Univ., Shanghai, China
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
17
Abstract
Irregular oscillation for a realistic neural network model of ours composed of only three neurons under constant external stimuli was analyzed using a complexity measure developed by Lemple and Ziv (1976). The results showed that such oscillation was nonperiodic, and its complexity could be compared with a time series from a logistic mapping while its parameter was within chaotic areas.
Keywords
chaos; computational complexity; neural nets; oscillations; time series; chaotic areas; complexity measure; constant external stimuli; irregular oscillation; logistic mapping; neural network model; nonperiodic oscillation; time series; Biological neural networks; Biological system modeling; Chaos; Computational modeling; Equations; Logistics; Neural networks; Neurons; Physiology; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.713848
Filename
713848
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