Modeling, Dynamical Analysis, and lmplementation of switched Memristive Neural Networks

Authors

• Zhuang Qu, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China
• Shaohua Zhang, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China
• Cong Wang, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China
• Hongli Zhang, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China
• Xinkai Li, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China
• Ping Ma, School of Intelligence Science and Technology, Xinjiang University, Urumchi 830049, China

Abstract

Abstract: To simulate the dynamic functional switching of brain networks, a time-switched memristive Hopfield neural network (TSM-HNN) model is proposed. The model utilizes external time-sequential signals to control memristive synapses, allowing it to dynamically generate multi-scroll chaotic attractors of varying numbers and morphologies without altering the system's structure. This overcomes the limitation of traditional chaotic systems, which can typically only produce a single type of attractor. The model exhibits complex chaotic behavior, high sensitivity to initial conditions, and coexisting attractors. Its physical feasibility has been verified through PSPice circuit simulations. This enhanced complexity and randomness give the model significant potential for applications in fields such as chaotic encryption and secure communication.

Recommended Citation

Qu, Zhuang; Zhang, Shaohua; Wang, Cong; Zhang, Hongli; Li, Xinkai; and Ma, Ping (2026) "Modeling, Dynamical Analysis, and lmplementation of switched Memristive Neural Networks," Journal of System Simulation: Vol. 38: Iss. 9, Article 10.
DOI: 10.16182/j.issn1004731x.joss.25-1025
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss9/10

First Page

2590

Last Page

2606

CLC

TP391.9

Recommended Citation

Qu Zhuang, Zhang Shaohua, Wang Cong, et al. Modeling, Dynamical Analysis, and lmplementation of switched Memristive Neural Networks[J]. Journal of System Simulation, 2026, 38(9): 2590-2606.

Corresponding Author

Zhang Shaohua

DOI

10.16182/j.issn1004731x.joss.25-1025