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

doi:10.1088/1674-1056/ae4c72

Abstract Bionic circuits can reproduce the firing activities of excitable biological neurons, which are the potential hardware foundation for artificial intelligent applications. This paper builds a meminductive and memristive emulator-based bionic circuit by referring to the electrophysiological microstructure of the lipid bilayer membrane of a biological neuron, within which an S-type memristor and a flux-controlled meminductor are employed to characterize the ion channels and their internal electromagnetic induction, respectively. The schematic of the bionic circuit only involves a capacitor, a memristor, a meminductor, and an external direct current (DC) source. Numerical simulations demonstrate that the bionic circuit can generate abundant chaotic and periodic spiking activities for the external stimulus, memristor-, and meminductor-related parameters. Moreover, a printed circuit board (PCB)-based hardware circuit is manually fabricated, upon which experimental measurements are performed to verify the chaotic and periodic spiking activities. This exploration demonstrates the feasibility of the bionic circuit in generating spiking activities and provides a hardware foundation for spike-based applications.

Keywords: spiking activity meminductive emulator memristive emulator bionic circuit

Received: 03 February 2026
Revised: 22 February 2026
Accepted manuscript online: 03 March 2026

PACS:	87.50.-a	(Effects of electromagnetic and acoustic fields on biological systems)
	87.19.ll	(Models of single neurons and networks)
	87.23.Kg	(Dynamics of evolution)
	87.19.ln	(Oscillations and resonance)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 12572066 and 12172066), the 333 Project of Jiangsu Province, the Research and Innovation Project of the Compound Semiconductor Innovation Consortium (Grant No. RIPCSIC202502), and the College Students’ Innovation and Entrepreneurship Training Program of Changzhou University (Grant No. S202510292080).

Corresponding Authors: Quan Xu
E-mail: xuquan@cczu.edu.cn

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Chenyu Zhang(张晨宇), Weiwei Fan(范伟伟), Huagan Wu(武花干), Ning Wang(王宁), Mo Chen(陈墨), Yibing Wang(王一冰), and Quan Xu(徐权) Spiking activity in a meminductive and memristive emulator-based bionic circuit 2026 Chin. Phys. B 35 068707

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

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