ORIGINAL RESEARCH article
Front. Phys.
Sec. Interdisciplinary Physics
Volume 13 - 2025 | doi: 10.3389/fphy.2025.1622487
This article is part of the Research TopicAdvances in Nonlinear Systems and Networks, Volume IIIView all 5 articles
Monophasic and biphasic neurodynamics of bi-S-type locally active memristor
Provisionally accepted
- 1Hangzhou Dianzi University, Hangzhou, China
- 2Qilu Institute of Technology, Jinan, China
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Inspired by the energy-efficient information processing of biological neural systems, this paper proposes an artificial memristive neuron to reproduce biological neuronal functions. By leveraging Chua's unfolding theorem, we establish a bi-S-type locally active memristor mathematical model exhibiting negative differential resistance (NDR), which serve as fingerprints for local activity. A second-order neuronal circuit is constructed to emulate periodic spiking and excitability, while a thirdorder circuit extends functionality to chaotic oscillations and bursting behaviors. Besides, the constructed neuronal circuit generates biphasic action potential through voltage symmetry modulation, replicating bidirectional signal transmission akin to biological systems. Hardware emulation validates neurodynamics under varying stimuli from theoretical analyses, offering a unit module and theoretical reference for energy-efficient neuromorphic computing network.
Keywords: Memristor, local activity, Neuron, spikes, neuromorphic behaviors
Received: 03 May 2025; Accepted: 19 May 2025.
Copyright: © 2025 Wang, Dong, Wang, Zhou, Mao, Jin and Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yujiao Dong, Hangzhou Dianzi University, Hangzhou, China
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