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A memristor-coupled heterogeneous discrete neural networks with infinite multi-structure hyperchaotic attractors

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Abstract

In this paper, a discrete memristor-coupled heterogeneous neural network (MCHNN) by coupling KTz neuron and tabu learning neurons with a locally active discrete memristor is constructed. Firstly, rationale of the proposed discrete MCHNN is presented. Then, taking the memristor initial state and coupling weight as variables, the abundant dynamical behaviors of the coupled neuron network are systematically analyzed, as well as the multi-stability of the discrete bi-neuron network are proved. Particularly, the six different firing cases and three types infinite multi-structure hyperchaotic attractors are discussed. Finally, a microcontroller-based hardware experiment was also conducted, in order to further verify the correctness of the numerical simulation. This study provides a theoretical basis for the implementation of MCHNN in human brain dynamics.

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Data availability statement

The datasets generated during and/or analyzed during the current study is available from the corresponding author on reasonable request.

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Acknowledgements

National Natural Science Foundation of China under Grant No. 62061014

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Dalian polytechnic University, Dalian, 116034, China

    Miao Wang & Jun Mou

  2. School of Food Science and Technology, State Key Laboratory of Marine Food Processing and Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian, 116034, China

    Lei Qin

  3. Institute of Electrical and Electronics Engineers, Toronto, M2J 4A6, Canada

    Hadi Jahanshahi

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  1. Miao Wang
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  2. Jun Mou
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  4. Hadi Jahanshahi
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Contributions

Miao Wang designed and carried out experiments, data analyzed and manuscript wrote. Jun Mou and Hadi Jahanshahi made the theoretical guidance for this paper. Lei Qin improved the algorithm. All authors reviewed the manuscript.

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Correspondence to Jun Mou.

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Wang, M., Mou, J., Qin, L. et al. A memristor-coupled heterogeneous discrete neural networks with infinite multi-structure hyperchaotic attractors. Eur. Phys. J. Plus 138, 1137 (2023). https://doi.org/10.1140/epjp/s13360-023-04772-x

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