{"title":"电磁感应作用下生物神经元模型的复杂潜伏期动力学","authors":"Ali Calim","doi":"10.1016/j.jestch.2025.102038","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, the effect of electromagnetic induction on spike latency dynamics in the Hodgkin–Huxley (H–H) neuron is investigated. It has been shown that the timing of first spikes is an effective information carrier and delay in the first spike contains more neuronal information compared to subsequent spikes. The first spike latency can increase significantly by stochastic perturbations, and this is known as noise delayed decay (NDD) phenomenon. On the other hand, due to micro level biophysical activities, particularly transport of ions across the cell membrane causes a temporary and changing electromagnetic field, which forms a feedback contribution to that neuron. Here, we aim to understand the effects of induction current produced by such electromagnetic field on the first spike timing behavior in a single stochastic Hodgkin–Huxley model neuron. To achieve this aim, we demonstrate the dynamic behavior of stochastic neuron regarding spike latency depending on channel noise intensity at varying signal frequency. We show that NDD behavior apparently emerges at critical suprathreshold frequencies. Our results have also shown that electromagnetic induction can decrease the first spike latency and that it becomes easier for the neuron exposed to relatively higher electromagnetic fields to emit reasonably rapid firings. This implies that electromagnetic induction can regulate the functional role of spike latency and remove undesired impacts of NDD.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102038"},"PeriodicalIF":5.1000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Complex latency dynamics of biological neuron model under effect of electromagnetic induction\",\"authors\":\"Ali Calim\",\"doi\":\"10.1016/j.jestch.2025.102038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, the effect of electromagnetic induction on spike latency dynamics in the Hodgkin–Huxley (H–H) neuron is investigated. It has been shown that the timing of first spikes is an effective information carrier and delay in the first spike contains more neuronal information compared to subsequent spikes. The first spike latency can increase significantly by stochastic perturbations, and this is known as noise delayed decay (NDD) phenomenon. On the other hand, due to micro level biophysical activities, particularly transport of ions across the cell membrane causes a temporary and changing electromagnetic field, which forms a feedback contribution to that neuron. Here, we aim to understand the effects of induction current produced by such electromagnetic field on the first spike timing behavior in a single stochastic Hodgkin–Huxley model neuron. To achieve this aim, we demonstrate the dynamic behavior of stochastic neuron regarding spike latency depending on channel noise intensity at varying signal frequency. We show that NDD behavior apparently emerges at critical suprathreshold frequencies. Our results have also shown that electromagnetic induction can decrease the first spike latency and that it becomes easier for the neuron exposed to relatively higher electromagnetic fields to emit reasonably rapid firings. This implies that electromagnetic induction can regulate the functional role of spike latency and remove undesired impacts of NDD.</div></div>\",\"PeriodicalId\":48609,\"journal\":{\"name\":\"Engineering Science and Technology-An International Journal-Jestech\",\"volume\":\"66 \",\"pages\":\"Article 102038\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Science and Technology-An International Journal-Jestech\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221509862500093X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science and Technology-An International Journal-Jestech","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221509862500093X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Complex latency dynamics of biological neuron model under effect of electromagnetic induction
In this study, the effect of electromagnetic induction on spike latency dynamics in the Hodgkin–Huxley (H–H) neuron is investigated. It has been shown that the timing of first spikes is an effective information carrier and delay in the first spike contains more neuronal information compared to subsequent spikes. The first spike latency can increase significantly by stochastic perturbations, and this is known as noise delayed decay (NDD) phenomenon. On the other hand, due to micro level biophysical activities, particularly transport of ions across the cell membrane causes a temporary and changing electromagnetic field, which forms a feedback contribution to that neuron. Here, we aim to understand the effects of induction current produced by such electromagnetic field on the first spike timing behavior in a single stochastic Hodgkin–Huxley model neuron. To achieve this aim, we demonstrate the dynamic behavior of stochastic neuron regarding spike latency depending on channel noise intensity at varying signal frequency. We show that NDD behavior apparently emerges at critical suprathreshold frequencies. Our results have also shown that electromagnetic induction can decrease the first spike latency and that it becomes easier for the neuron exposed to relatively higher electromagnetic fields to emit reasonably rapid firings. This implies that electromagnetic induction can regulate the functional role of spike latency and remove undesired impacts of NDD.
期刊介绍:
Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology.
The scope of JESTECH includes a wide spectrum of subjects including:
-Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing)
-Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences)
-Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)