Xincheng Ding, Chengtao Feng, Ning Wang, Huagan Wu, Quan Xu
{"title":"基于记忆离子通道的仿生电路中各种刺激诱导的放电活动","authors":"Xincheng Ding, Chengtao Feng, Ning Wang, Huagan Wu, Quan Xu","doi":"10.1016/j.chaos.2025.116587","DOIUrl":null,"url":null,"abstract":"<div><div>This paper builds a memristive ion channel-based bionic circuit and deploys various stimuli to drive the circuit to reveal dynamical effects of different external stimuli. The bionic circuit possesses a first-order N-type locally active memristor (N-LAM) with a reversal voltage to depict the properties of the biological ion channel, a capacitor to represent the neuronal membrane, and a current stimulus to simulate external stimulus on a neuron. Numerical simulations reveal that low- and high-frequency sinusoidal stimuli can induce bursting and spiking behaviors, respectively. Interestingly, the low-frequency sinusoidal stimulus can act as a slow variable to trigger fast-slow dynamics to generate the bursting behavior. A direct current (DC) stimulus can drive the circuit to exhibit frequency self-adaptation characteristics. That is, the frequency of the spiking behaviors is related to the current intensity. Besides, a pulse current stimulus can trigger instantaneous firing activities with controllable timing interval and spike counts by adjusting the amplitude of the pulse current stimulus. Furthermore, discrete component-based hardware experiments are conducted and the experimental results well validate the numerical simulations. These numerical and experimental findings demonstrate that the proposed bionic circuit can effectively generate neuron-like firing activities and regulate the firing activities by various external stimuli.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"199 ","pages":"Article 116587"},"PeriodicalIF":5.6000,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Firing activities induced by various stimuli in a memristive ion channel-based bionic circuit\",\"authors\":\"Xincheng Ding, Chengtao Feng, Ning Wang, Huagan Wu, Quan Xu\",\"doi\":\"10.1016/j.chaos.2025.116587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper builds a memristive ion channel-based bionic circuit and deploys various stimuli to drive the circuit to reveal dynamical effects of different external stimuli. The bionic circuit possesses a first-order N-type locally active memristor (N-LAM) with a reversal voltage to depict the properties of the biological ion channel, a capacitor to represent the neuronal membrane, and a current stimulus to simulate external stimulus on a neuron. Numerical simulations reveal that low- and high-frequency sinusoidal stimuli can induce bursting and spiking behaviors, respectively. Interestingly, the low-frequency sinusoidal stimulus can act as a slow variable to trigger fast-slow dynamics to generate the bursting behavior. A direct current (DC) stimulus can drive the circuit to exhibit frequency self-adaptation characteristics. That is, the frequency of the spiking behaviors is related to the current intensity. Besides, a pulse current stimulus can trigger instantaneous firing activities with controllable timing interval and spike counts by adjusting the amplitude of the pulse current stimulus. Furthermore, discrete component-based hardware experiments are conducted and the experimental results well validate the numerical simulations. These numerical and experimental findings demonstrate that the proposed bionic circuit can effectively generate neuron-like firing activities and regulate the firing activities by various external stimuli.</div></div>\",\"PeriodicalId\":9764,\"journal\":{\"name\":\"Chaos Solitons & Fractals\",\"volume\":\"199 \",\"pages\":\"Article 116587\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chaos Solitons & Fractals\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0960077925006009\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925006009","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Firing activities induced by various stimuli in a memristive ion channel-based bionic circuit
This paper builds a memristive ion channel-based bionic circuit and deploys various stimuli to drive the circuit to reveal dynamical effects of different external stimuli. The bionic circuit possesses a first-order N-type locally active memristor (N-LAM) with a reversal voltage to depict the properties of the biological ion channel, a capacitor to represent the neuronal membrane, and a current stimulus to simulate external stimulus on a neuron. Numerical simulations reveal that low- and high-frequency sinusoidal stimuli can induce bursting and spiking behaviors, respectively. Interestingly, the low-frequency sinusoidal stimulus can act as a slow variable to trigger fast-slow dynamics to generate the bursting behavior. A direct current (DC) stimulus can drive the circuit to exhibit frequency self-adaptation characteristics. That is, the frequency of the spiking behaviors is related to the current intensity. Besides, a pulse current stimulus can trigger instantaneous firing activities with controllable timing interval and spike counts by adjusting the amplitude of the pulse current stimulus. Furthermore, discrete component-based hardware experiments are conducted and the experimental results well validate the numerical simulations. These numerical and experimental findings demonstrate that the proposed bionic circuit can effectively generate neuron-like firing activities and regulate the firing activities by various external stimuli.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.