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A novel neural networks with memristor coupled memcapacitor-synapse neuron

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  • Shi, Fan
  • Cao, Yinghong
  • Banerjee, Santo
  • Ahmad, Adil M.
  • Mou, Jun

Abstract

With the increased understanding of information transfer and interactions between neurons, there is an urgent need for a memory element with bionic properties to probe the activity between neurons. Based on this, this paper constructs a novel Memristor Coupled Memcapacitor Synapse Hopfield Neural (MCMSHN) network by creating an element with a memristor coupled memcapacitor and applying it to a Hopfield neural network to simulate synaptic function. Firstly, the memory properties possessed by the Memristor Coupled Memcapacitor Synapse (MCMS) are demonstrated. Secondly, the complex dynamic behavior of MCMSHN is explored by means of numerical simulations to demonstrate its bionic properties. And the study focuses on the dynamical behavior of the synaptic weights and the coupling strengths, including multiple bifurcation behaviors, bionic discharges, and extreme multistability features of the MCMSHN. Finally, the attractors generated by the system are realized by Digital Signal Processing (DSP) techniques. The feasibility of MCMS for estimating synaptic activity is verified from multiple perspectives, providing insights into the complex working mechanisms of the brain.

Suggested Citation

  • Shi, Fan & Cao, Yinghong & Banerjee, Santo & Ahmad, Adil M. & Mou, Jun, 2024. "A novel neural networks with memristor coupled memcapacitor-synapse neuron," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    • Handle: RePEc:eee:chsofr:v:189:y:2024:i:p2:s096007792401275x
    DOI: 10.1016/j.chaos.2024.115723
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    References listed on IDEAS

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    1. Ma, Tao & Mou, Jun & Banerjee, Santo & Cao, Yinghong, 2023. "Analysis of the functional behavior of fractional-order discrete neuron under electromagnetic radiation," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    2. Yu, Xihong & Bao, Han & Chen, Mo & Bao, Bocheng, 2023. "Energy balance via memristor synapse in Morris-Lecar two-neuron network with FPGA implementation," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    3. Yu, Fei & Shen, Hui & Zhang, Zinan & Huang, Yuanyuan & Cai, Shuo & Du, Sichun, 2021. "Dynamics analysis, hardware implementation and engineering applications of novel multi-style attractors in a neural network under electromagnetic radiation," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    4. Cao, Hongli & Wang, Yu & Banerjee, Santo & Cao, Yinghong & Mou, Jun, 2024. "A discrete Chialvo–Rulkov neuron network coupled with a novel memristor model: Design, Dynamical analysis, DSP implementation and its application," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    5. Zhang, Shaohua & Wang, Cong & Zhang, Hongli & Lin, Hairong, 2024. "Collective dynamics of adaptive memristor synapse-cascaded neural networks based on energy flow," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    6. Chen, M. & Feng, Y. & Bao, H. & Bao, B.C. & Yu, Y.J. & Wu, H.G. & Xu, Q., 2018. "State variable mapping method for studying initial-dependent dynamics in memristive hyper-jerk system with line equilibrium," Chaos, Solitons & Fractals, Elsevier, vol. 115(C), pages 313-324.
    7. Han, Zhitang & Sun, Bo & Banerjee, Santo & Mou, Jun, 2024. "Biological neuron modeling based on bifunctional memristor and its application in secure communication," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
    8. Hairong Lin & Chunhua Wang & Fei Yu & Jingru Sun & Sichun Du & Zekun Deng & Quanli Deng, 2023. "A Review of Chaotic Systems Based on Memristive Hopfield Neural Networks," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    9. Bao, B.C. & Wu, P.Y. & Bao, H. & Xu, Q. & Chen, M., 2018. "Numerical and experimental confirmations of quasi-periodic behavior and chaotic bursting in third-order autonomous memristive oscillator," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 161-170.
    10. Fossi, Jules Tagne & Njitacke, Zeric Tabekoueng & Tankeu, William Nguimeya & Mendimi, Joseph Marie & Awrejcewicz, Jan & Atangana, Jacques, 2023. "Phase synchronization and coexisting attractors in a model of three different neurons coupled via hybrid synapses," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
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