{"title":"伊日科维奇耦合神经元网络的相变和同步性","authors":"Áine Byrne","doi":"arxiv-2407.20055","DOIUrl":null,"url":null,"abstract":"A number of recent articles have employed the Lorentz ansatz to reduce a\nnetwork of Izhikevich neurons to a tractable mean-field description. In this\nletter, we construct an equivalent phase model for the Izhikevich model and\napply the Ott-Antonsen ansatz, to derive the mean field dynamics in terms of\nthe Kuramoto order parameter. In addition, we show that by defining an\nappropriate order parameter in the voltage-firing rate framework, the conformal\nmapping of Montbri\\'o et al., which relates the two mean-field descriptions,\nremains valid.","PeriodicalId":501517,"journal":{"name":"arXiv - QuanBio - Neurons and Cognition","volume":"212 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phase transformation and synchrony for a network of coupled Izhikevich neurons\",\"authors\":\"Áine Byrne\",\"doi\":\"arxiv-2407.20055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A number of recent articles have employed the Lorentz ansatz to reduce a\\nnetwork of Izhikevich neurons to a tractable mean-field description. In this\\nletter, we construct an equivalent phase model for the Izhikevich model and\\napply the Ott-Antonsen ansatz, to derive the mean field dynamics in terms of\\nthe Kuramoto order parameter. In addition, we show that by defining an\\nappropriate order parameter in the voltage-firing rate framework, the conformal\\nmapping of Montbri\\\\'o et al., which relates the two mean-field descriptions,\\nremains valid.\",\"PeriodicalId\":501517,\"journal\":{\"name\":\"arXiv - QuanBio - Neurons and Cognition\",\"volume\":\"212 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Neurons and Cognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.20055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Neurons and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.20055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase transformation and synchrony for a network of coupled Izhikevich neurons
A number of recent articles have employed the Lorentz ansatz to reduce a
network of Izhikevich neurons to a tractable mean-field description. In this
letter, we construct an equivalent phase model for the Izhikevich model and
apply the Ott-Antonsen ansatz, to derive the mean field dynamics in terms of
the Kuramoto order parameter. In addition, we show that by defining an
appropriate order parameter in the voltage-firing rate framework, the conformal
mapping of Montbri\'o et al., which relates the two mean-field descriptions,
remains valid.