AccScience Publishing / NSCE / Online First / DOI: 10.36922/NSCE025400014
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RESEARCH ARTICLE

Memristor-coupled tabu learning neuron and multi-cavity control of attractors

Xiyu Ren1 ,  Xianying Xu1* ,  Xiaodong Liu2* ,  Yinghong Cao1 ,  Suo Gao1 ,  Jun Mou1
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1 School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China
2 School of Innovation and Entrepreneurship, Dalian Polytechnic University, Dalian, Liaoning, China
NSCE, 025400014 https://doi.org/10.36922/NSCE025400014
Received: 30 September 2025 | Revised: 20 October 2025 | Accepted: 3 November 2025 | Published online: 9 December 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

The tabu learning neuron model is constructed by coupling the tabu search algorithm with a neural network model designed to simulate the electrical activity and synchronous behavior of biological neural systems. This paper proposes a self-coupled tabu learning neuron-memristor (TLNM) system by integrating a tabu learning neuron with a newly proposed universal magnetically controlled memristor. The dynamical characteristics of the TLNM system were analyzed by plotting the Lyapunov exponent spectrum, bifurcation diagram, attractors, and spectral entropy complexity. During this process, it was found that the TLNM system exhibited a wide range of firing behaviors. Multi-cavity control of attractors generated by the TLNM system was achieved by introducing a multi-level step-function approach. Finally, the physical feasibility of the TLNM system was verified on the demand-side platform. The TLNM system proposed in this paper provides a theoretical foundation for studying brain-like behavior.

Keywords
Tabu learning neuron
Tabu learning neuron-memristor
Dynamical characteristics
Demand-side platform
Funding
This work was supported by the Basic scientific research projects in department of education of Liaoning Province (Grant No. LJ212410152011), Doctoral Research Startup Fund Program Project of Liaoning Province (Grant No. 2025-BS-0471), Research startup fund project for introducing talents of Dalian Polytechnic University (Grant No. LJBKY2025070), Basic Scientific Research Projects in Department of Education of Liaoning Province (Grant No. LJ212410152049), and National Natural Science Foundation of China (Grant No. 62571079).
Conflict of interest
The authors declare that they have no competing interests.
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