{"title":"电磁感应下延迟耦合热敏神经元的快慢动态行为","authors":"Yansu Ji, Xiaochen Mao","doi":"10.1016/j.chaos.2024.115721","DOIUrl":null,"url":null,"abstract":"<div><div>This paper studies the dynamics of a thermosensitive neuronal network with delayed chemical synapses under electromagnetic induction. The stability and different bifurcations of the network are analyzed. Abundant and interesting bursting oscillations are explored, such as point–point bursting, cycle–cycle bursting, point-cycle bursting and cycle-point bursting oscillations. Time delay plays important roles in the system dynamics, including the amplitude of the spiking state and the delay interval of the subcritical Hopf bifurcation. The average Hamiltonian energy is considered to estimate the synchronized behaviors between neurons, such as intermittent synchronization. As the strength of the chemical synapses varies, asynchronous behaviors, intermittently synchronized and fully synchronized states are observed. The influences of the feedback strength gain of external stimuli induced by electromagnetic induction and temperature coefficient on the synchronized dynamics are discussed. Based on the exponential function circuit, time delay circuit and transfer function circuit, the circuit platform of the network is constructed. The responses of the circuit reach an agreement with the obtained results.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"189 ","pages":"Article 115721"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast and slow dynamical behaviors of delayed-coupled thermosensitive neurons under electromagnetic induction\",\"authors\":\"Yansu Ji, Xiaochen Mao\",\"doi\":\"10.1016/j.chaos.2024.115721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper studies the dynamics of a thermosensitive neuronal network with delayed chemical synapses under electromagnetic induction. The stability and different bifurcations of the network are analyzed. Abundant and interesting bursting oscillations are explored, such as point–point bursting, cycle–cycle bursting, point-cycle bursting and cycle-point bursting oscillations. Time delay plays important roles in the system dynamics, including the amplitude of the spiking state and the delay interval of the subcritical Hopf bifurcation. The average Hamiltonian energy is considered to estimate the synchronized behaviors between neurons, such as intermittent synchronization. As the strength of the chemical synapses varies, asynchronous behaviors, intermittently synchronized and fully synchronized states are observed. The influences of the feedback strength gain of external stimuli induced by electromagnetic induction and temperature coefficient on the synchronized dynamics are discussed. Based on the exponential function circuit, time delay circuit and transfer function circuit, the circuit platform of the network is constructed. The responses of the circuit reach an agreement with the obtained results.</div></div>\",\"PeriodicalId\":9764,\"journal\":{\"name\":\"Chaos Solitons & Fractals\",\"volume\":\"189 \",\"pages\":\"Article 115721\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-11-15\",\"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/S0960077924012736\",\"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/S0960077924012736","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Fast and slow dynamical behaviors of delayed-coupled thermosensitive neurons under electromagnetic induction
This paper studies the dynamics of a thermosensitive neuronal network with delayed chemical synapses under electromagnetic induction. The stability and different bifurcations of the network are analyzed. Abundant and interesting bursting oscillations are explored, such as point–point bursting, cycle–cycle bursting, point-cycle bursting and cycle-point bursting oscillations. Time delay plays important roles in the system dynamics, including the amplitude of the spiking state and the delay interval of the subcritical Hopf bifurcation. The average Hamiltonian energy is considered to estimate the synchronized behaviors between neurons, such as intermittent synchronization. As the strength of the chemical synapses varies, asynchronous behaviors, intermittently synchronized and fully synchronized states are observed. The influences of the feedback strength gain of external stimuli induced by electromagnetic induction and temperature coefficient on the synchronized dynamics are discussed. Based on the exponential function circuit, time delay circuit and transfer function circuit, the circuit platform of the network is constructed. The responses of the circuit reach an agreement with the obtained results.
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.