Stability and bifurcation in a simplified four-neuron bam neural network with multiple delays.
Yan, Xiang-Ping, Li, Wan-Tong (2006)
Discrete Dynamics in Nature and Society
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Yan, Xiang-Ping, Li, Wan-Tong (2006)
Discrete Dynamics in Nature and Society
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Liu, Qiming, Xu, Rui, Wang, Zhiping (2011)
Discrete Dynamics in Nature and Society
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Yan, Xiang-Ping, Li, Wan-Tong (2006)
Discrete Dynamics in Nature and Society
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Zhou, Xiaobing, Jiang, Murong, Cai, Xiaomei (2011)
Discrete Dynamics in Nature and Society
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Anita Windisch, Péter L. Simon (2023)
Applications of Mathematics
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The dynamical behaviour of a continuous time recurrent neural network model with a special weight matrix is studied. The network contains several identical excitatory neurons and a single inhibitory one. This special construction enables us to reduce the dimension of the system and then fully characterize the local and global codimension-one bifurcations. It is shown that besides saddle-node and Andronov-Hopf bifurcations, homoclinic and cycle fold bifurcations may occur. These bifurcation...
Zhang, Qiang, Wei, Xiaopeng, Xu, Jin (2007)
Discrete Dynamics in Nature and Society
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Jalab, H.A., Ibrahim, R.W. (2009)
Surveys in Mathematics and its Applications
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Duan, Chengjun, Song, Qiankun (2010)
Discrete Dynamics in Nature and Society
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Danciu, Daniela, Răsvan, Vladimir (2000)
Electronic Journal of Qualitative Theory of Differential Equations [electronic only]
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Liao, Xiaofeng, Yang, Xiaofan, Zhang, Wei (2006)
Discrete Dynamics in Nature and Society
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Lin Jun Wang, You Xiang Xie, Zhou Chao Wei, Jian Peng (2015)
Kybernetika
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In this paper, we consider a three-unit delayed neural network system, investigate the linear stability, and obtain some sufficient conditions ensuring the absolute synchronization of the system by the Lyapunov function. Numerical simulations show that the theoretically predicted results are in excellent agreement with the numerically observed behavior.
Chen, Yonggang, Bi, Weiping, Wu, Yuanyuan (2008)
Discrete Dynamics in Nature and Society
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