Title :
Complexity of a "simple" realistic neural network model
Author :
Gu, Fanji ; Ruan, Jiong
Author_Institution :
Dept. of Physiol. & Biophys., Fudan Univ., Shanghai, China
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;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.713848
