Yilin Yan, Junwei Sun, Yongxing Ma, J. Yang, Peng Liu, Yanfeng Wang
{"title":"Dynamical Analysis of HR-FN Neuron Model Bidirectional Coupled by Locally Active Hyperbolic Memristor and Circuit Implementation","authors":"Yilin Yan, Junwei Sun, Yongxing Ma, J. Yang, Peng Liu, Yanfeng Wang","doi":"10.1109/icaci55529.2022.9837693","DOIUrl":null,"url":null,"abstract":"In this paper, a locally active hyperbolic memristor is proposed which characteristics are analyzed by numerical analysis. The HR-FN neuron model which bidirectional coupled by locally active hyperbolic memristor is constructed. Theoretical analysis and numerical simulation show that the bidirectional coupled neuron model has multiple stability under the influence of locally active memristor. Finally, the equivalent circuit of bidirectional coupled neural network is designed, and its the numerical analysis is verified by Multisim circuit simulation.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"586 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaci55529.2022.9837693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a locally active hyperbolic memristor is proposed which characteristics are analyzed by numerical analysis. The HR-FN neuron model which bidirectional coupled by locally active hyperbolic memristor is constructed. Theoretical analysis and numerical simulation show that the bidirectional coupled neuron model has multiple stability under the influence of locally active memristor. Finally, the equivalent circuit of bidirectional coupled neural network is designed, and its the numerical analysis is verified by Multisim circuit simulation.