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

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

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
Synaptic crosstalk is a prevalent phenomenon among neuronal synapses,playing a crucial role in the transmission of neural signals.Therefore,considering synaptic crosstalk behavior and investigating the dynamical behavior of discrete neural networks are highly necessary.In this paper,we propose a heterogeneous discrete neural network(HDNN)consisting of a three-dimensional KTz discrete neuron and a Chialvo discrete neuron.These two neurons are coupled mutually by two discrete memristors and the synaptic crosstalk is considered.The impact of crosstalk strength on the firing behavior of the HDNN is explored through bifurcation diagrams and Lyapunov exponents.It is observed that the HDNN exhibits different coexisting attractors under varying crosstalk strengths.Furthermore,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.

discrete memristorsynaptic crosstalkcoexisting attractorphase synchronization

马铭磷、熊康灵、李志军、贺少波

展开 >

School of Automation and Electronic Information,Xiangtan University,Xiangtan 411105,China

Key Projects of Hunan Provincial Department of EducationNatural Science Foundation of Hunan ProvinceNational Natural Science Foundations of China

23A01332022JJ3057262171401

2024

10.1088/1674-1056/aceee9

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(2)
  • 65