{"title":"基于Fitzhugh-Nagumo神经元模型的两个神经元的分数阶同步","authors":"Mina Armanyos, A. Radwan, A. Madian","doi":"10.1109/ACTEA.2016.7560133","DOIUrl":null,"url":null,"abstract":"This paper studies the synchronization of two coupled neurons using Fitzhugh-Nagumo model in the fractional-order domain. In general, studying systems in the fractional-order domain provides a wider scope view of their behavior. When the neuron is generalized into the fractional-order domain, the normal behaviors displayed in the integer case change. Furthermore, two neurons display various synchronization patterns. The neurons' fractional-order system is solved using non-standard finite difference scheme together with Grunwald-Letnikov discretization.","PeriodicalId":220936,"journal":{"name":"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fractional-order synchronization of two neurons using Fitzhugh-Nagumo neuron model\",\"authors\":\"Mina Armanyos, A. Radwan, A. Madian\",\"doi\":\"10.1109/ACTEA.2016.7560133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the synchronization of two coupled neurons using Fitzhugh-Nagumo model in the fractional-order domain. In general, studying systems in the fractional-order domain provides a wider scope view of their behavior. When the neuron is generalized into the fractional-order domain, the normal behaviors displayed in the integer case change. Furthermore, two neurons display various synchronization patterns. The neurons' fractional-order system is solved using non-standard finite difference scheme together with Grunwald-Letnikov discretization.\",\"PeriodicalId\":220936,\"journal\":{\"name\":\"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"volume\":\"290 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACTEA.2016.7560133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACTEA.2016.7560133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional-order synchronization of two neurons using Fitzhugh-Nagumo neuron model
This paper studies the synchronization of two coupled neurons using Fitzhugh-Nagumo model in the fractional-order domain. In general, studying systems in the fractional-order domain provides a wider scope view of their behavior. When the neuron is generalized into the fractional-order domain, the normal behaviors displayed in the integer case change. Furthermore, two neurons display various synchronization patterns. The neurons' fractional-order system is solved using non-standard finite difference scheme together with Grunwald-Letnikov discretization.