记忆电阻器
相图
人工神经网络
计算机科学
联轴节(管道)
生物神经元模型
分叉
同步(交流)
拓扑(电路)
离散时间和连续时间
控制理论(社会学)
算法
数学
人工智能
非线性系统
物理
电子工程
工程类
组合数学
统计
机械工程
控制(管理)
量子力学
作者
Yanmei Lu,Chunhua Wang,Quanli Deng
标识
DOI:10.1080/0954898x.2022.2131921
摘要
The features of memristive-coupled neural networks have been studied extensively in the continuous field. However, the particularities of the discrete domain are rarely mentioned. This paper constructs a discrete memristor with sine-type conductance and applies the discrete memristor to coupling the Rulkov neuron maps for the first time. The properties of the proposed memristive-coupled bi-neuron Rulkov map and multi-neuron Rulkov neural network are probed. In order to better characterize the discrete system, many numerical simulation methods are used. Such as the normalized mean synchronization error, bifurcation diagrams, phase portraits, spatiotemporal patterns and so on. Numerical studies have shown that in discrete memristor-coupled neural networks, both parameters and coupling factors affect the dynamics of the system, resulting in complex and interesting behavioural changes.
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