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Spiking activity in a memcapacitive and memristive emulator-based bionic circuit

Author

Listed:
  • Xu, Quan
  • Ding, Xincheng
  • Wang, Ning
  • Chen, Bei
  • Parastesh, Fatemeh
  • Chen, Mo

Abstract

The diversity of spiking activity of a bionic circuit is a vital footstone in developing spike-based applications. The bionic circuit constructed by membrane theory frequently employs an invariable capacitor to characterize the electrophysiological behaviors of the neuron membrane. Actually, the thickness and medium property of a neuron membrane are regulated by its membrane potential, which leads to the invariable capacitor suffering from inaccuracy in expressing the regulating process. To solve this issue, a memcapacitive emulator with controllable capacitance is deployed to characterize the neuron membrane in this paper. Then, a memcapacitive and memristive emulator-based (MC-MR-emulator-based) bionic circuit is first built, which involves only a memcapacitive emulator, a locally active memristive emulator, a DC voltage source, and an externally applied current stimulus. Numerical explorations display that the MC-MR-emulator-based bionic circuit can generate rich bifurcation behaviors, e.g., period-doubling bifurcation, tangent bifurcation, and crisis scenario, related to the current stimulus, memristive emulator parameters, and memcapacitive emulator parameters. These bifurcation behaviors lead to that the MC-MR-emulator-based bionic circuit can produce abundant periodic and chaotic spiking activities. In analog experiments, memcapacitor and memristor emulators are utilized. PCB-based hardware experimental results well address the validity of the numerical explorations and further exhibit the effectiveness of the MC-MR-emulator-based bionic circuit in generating spiking activities.

Suggested Citation

  • Xu, Quan & Ding, Xincheng & Wang, Ning & Chen, Bei & Parastesh, Fatemeh & Chen, Mo, 2024. "Spiking activity in a memcapacitive and memristive emulator-based bionic circuit," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924008919
    DOI: 10.1016/j.chaos.2024.115339
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    References listed on IDEAS

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    1. Wu, Huagan & Gu, Jinxiang & Chen, Mo & Wang, Ning & Xu, Quan, 2024. "Bionic firing activities in a dual mem-elements based CNN cell," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).

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