Abstract
The heterogeneous coupled network has shown its research values in brain science and bionics. In this paper, a novel small heterogeneous coupled network through a memristive synapse is proposed and investigated. The model is constructed by coupling a 2D Hindmarsh–Rose (HR) neuron with a 3D Hopfield neural network (HNN) through a memristive synapse. Subsequently, the complex dynamical behaviors exhibited by the network were investigated. Specifically, we varied the coupling parameter k12 of the 3D HNN and found that the membrane potentials of the 2D HR neuron possess seven stable firing patterns. Then, by varying the coupling parameter k1 between the 2D HR neuron and the 3D HNN, the membrane potentials of the 2D HR neuron generated five stable firing patterns. Furthermore, by fixing the coupling parameters and varying the initial values of the network, multistability behavior was exhibited by the network. These findings have potential applications in brain science and bionics. Finally, a circuit is designed to realize the network in both simulation and experiments.
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The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This work was supported by the National Natural Science Foundation of China (Grant No. 62071411) and the Research Foundation of Education Department of Hunan Province, China (Grant No.20B567).
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Wang, M., Peng, J., Zhang, X. et al. Firing activities analysis of a novel small heterogeneous coupled network through a memristive synapse. Nonlinear Dyn 111, 15397–15415 (2023). https://doi.org/10.1007/s11071-023-08626-0
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DOI: https://doi.org/10.1007/s11071-023-08626-0