{"title":"与延迟相互作用耦合的噪声可兴奋神经元链中的相干共振","authors":"K. Todorović, N. Buric, A. Samčović, N. Vasovic","doi":"10.1109/NEUREL.2010.5644082","DOIUrl":null,"url":null,"abstract":"Influence of the interaction time-delay on the noise induced system size resonance in a system of all-to-all electrically coupled FitzHugh-Nagumo excitable neurons is studied. It is observed that small time-lags decrease and that large time-lags increase the coherence of spiking. Bifurcations of the system's stationary state are used to explain the observed non-monotonic dependence of coherence on the time-lag.","PeriodicalId":227890,"journal":{"name":"10th Symposium on Neural Network Applications in Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coherence resonance in chains of noisy excitable neurons coupled by interactions with delay\",\"authors\":\"K. Todorović, N. Buric, A. Samčović, N. Vasovic\",\"doi\":\"10.1109/NEUREL.2010.5644082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Influence of the interaction time-delay on the noise induced system size resonance in a system of all-to-all electrically coupled FitzHugh-Nagumo excitable neurons is studied. It is observed that small time-lags decrease and that large time-lags increase the coherence of spiking. Bifurcations of the system's stationary state are used to explain the observed non-monotonic dependence of coherence on the time-lag.\",\"PeriodicalId\":227890,\"journal\":{\"name\":\"10th Symposium on Neural Network Applications in Electrical Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"10th Symposium on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2010.5644082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th Symposium on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2010.5644082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coherence resonance in chains of noisy excitable neurons coupled by interactions with delay
Influence of the interaction time-delay on the noise induced system size resonance in a system of all-to-all electrically coupled FitzHugh-Nagumo excitable neurons is studied. It is observed that small time-lags decrease and that large time-lags increase the coherence of spiking. Bifurcations of the system's stationary state are used to explain the observed non-monotonic dependence of coherence on the time-lag.
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