中国物理B ›› 2025, Vol. 34 ›› Issue (12): 120502-120502.doi: 10.1088/1674-1056/ae0563

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A sound-sensitive neuron incorporating a memristive-ion channel

Xin-Lin Song(宋欣林)1, Ge Zhang(张鬲)1, and Fei-Fei Yang(杨飞飞)2,†   

  1. 1 College of Science, Xi'an University of Science and Technology, Xi'an 710054, China;
    2 College of Artificial Intelligence and Computer Science, Xi'an University of Science and Technology, Xi'an 710054, China
  • 收稿日期:2025-08-05 修回日期:2025-09-08 接受日期:2025-09-10 发布日期:2025-12-04
  • 通讯作者: Fei-Fei Yang E-mail:yangfeifei@xust.edu.cn;dlpuyff@sina.com
  • 基金资助:
    Project supported by the Youth Innovation Team of Shaanxi Universities.

A sound-sensitive neuron incorporating a memristive-ion channel

Xin-Lin Song(宋欣林)1, Ge Zhang(张鬲)1, and Fei-Fei Yang(杨飞飞)2,†   

  1. 1 College of Science, Xi'an University of Science and Technology, Xi'an 710054, China;
    2 College of Artificial Intelligence and Computer Science, Xi'an University of Science and Technology, Xi'an 710054, China
  • Received:2025-08-05 Revised:2025-09-08 Accepted:2025-09-10 Published:2025-12-04
  • Contact: Fei-Fei Yang E-mail:yangfeifei@xust.edu.cn;dlpuyff@sina.com
  • Supported by:
    Project supported by the Youth Innovation Team of Shaanxi Universities.

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摘要： The nonlinear memory characteristics of memristors resemble those of biological synapses and ion channels. Therefore, memristors serve as ideal components for constructing artificial neurons. This paper presents a sound-sensitive neuron circuit featuring a memristor-based hybrid ion channel, designed to simulate the dynamic response mechanisms of biological auditory neurons to acoustic signals. In this neural circuit, a piezoelectric ceramic element captures external sound signals, while the hybrid ion channel is formed by connecting a charge-controlled memristor in series with an inductor. The circuit realizes selective encoding of sound frequency and amplitude and investigates the influence of external electric fields on neuronal ion-channel dynamics. In the dynamic analysis, bifurcation diagrams and Lyapunov exponents are employed to reveal the rich nonlinear behaviors, such as chaotic oscillations and periodic oscillations, exhibited by the circuit during the acoustic-electric conversion process, and the validity of the circuit model is experimentally verified. Simulation results show that by adjusting the threshold of the ratio between electric-field energy and magnetic-field energy, the firing modes and parameters of neurons can be adaptively regulated. Moreover, the model exhibits stochastic resonance in noisy environments. This research provides a theoretical foundation for the development of new bionic auditory sensing hardware and opens a new path for the bio-inspired design of memristor-ion-channel hybrid systems.

关键词: sound-sensitive neuron, hybrid memristor ion channel, Hamilton energy

Abstract: The nonlinear memory characteristics of memristors resemble those of biological synapses and ion channels. Therefore, memristors serve as ideal components for constructing artificial neurons. This paper presents a sound-sensitive neuron circuit featuring a memristor-based hybrid ion channel, designed to simulate the dynamic response mechanisms of biological auditory neurons to acoustic signals. In this neural circuit, a piezoelectric ceramic element captures external sound signals, while the hybrid ion channel is formed by connecting a charge-controlled memristor in series with an inductor. The circuit realizes selective encoding of sound frequency and amplitude and investigates the influence of external electric fields on neuronal ion-channel dynamics. In the dynamic analysis, bifurcation diagrams and Lyapunov exponents are employed to reveal the rich nonlinear behaviors, such as chaotic oscillations and periodic oscillations, exhibited by the circuit during the acoustic-electric conversion process, and the validity of the circuit model is experimentally verified. Simulation results show that by adjusting the threshold of the ratio between electric-field energy and magnetic-field energy, the firing modes and parameters of neurons can be adaptively regulated. Moreover, the model exhibits stochastic resonance in noisy environments. This research provides a theoretical foundation for the development of new bionic auditory sensing hardware and opens a new path for the bio-inspired design of memristor-ion-channel hybrid systems.

Key words: sound-sensitive neuron, hybrid memristor ion channel, Hamilton energy

中图分类号:  (Nonlinear dynamics and chaos)

  • 05.45.-a
84.30.-r (Electronic circuits)