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Dynamical behavior of memristor-coupled heterogeneous discrete neural networks with synaptic crosstalk

Chinese Physics B 2024年第2期33卷 545-550页

作者：马铭磷熊康灵李志军贺少波 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China

Synaptic crosstalk is a prevalent phenomenon among neuronal synapses,playing a crucial role in the transmission of neural ***,considering synaptic crosstalk behavior and investigating the dynamical behavior of discrete neural networks are highly *** this paper,we propose a heterogeneous discrete neural network(HDNN)consisting of a three-dimensional KTz discrete neuron and a Chialvo discrete *** two neurons are coupled mutually by two discrete memristors and the synaptic crosstalk is *** impact of crosstalk strength on the firing behavior of the HDNN is explored through bifurcation diagrams and Lyapunov *** is observed that the HDNN exhibits different coexisting attractors under varying crosstalk ***,the influence of different crosstalk strengths on the synchronized firing of the HDNN is investigated,revealing a gradual attainment of phase synchronization between the two discrete neurons as the crosstalk strength decreases.

关键词： discrete memristor synaptic crosstalk coexisting attractor phase synchronization

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Dynamics of a multiplex neural network with delayed couplings

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Applied Mathematics and Mechanics(English Edition) 2021年第3期42卷 441-456页

作者： Xiaochen MAO Xingyong LI Weijie DING Song WANG Xiangyu ZHOU Lei QIAO Department of Engineering Mechanics College of Mechanics and MaterialsHohai UniversityNanjing 211100China

Multiplex networks have drawn much attention since they have been observed in many systems,e.g.,brain,transport,and social *** this paper,the nonlinear dynamics of a multiplex network with three neural groups and delayed interactions is *** stability and bifurcation of the network equilibrium are discussed,and interesting neural activities of the network are *** on the neuron circuit,transfer function circuit,and time delay circuit,a circuit platform of the network is *** is shown that delayed couplings play crucial roles in the network dynamics,e.g.,the enhancement and suppression of the stability,the patterns of the synchronization between networks,and the generation of complicated attractors and multi-stability coexistence.

关键词： neural network time delay synchronization coexisting attractor

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