{"title":"Synchronization of N-Coupled Hindmarsh-Rose Neuron Model with Time-Varying Delays","authors":"Sourav K. Bhowmick, S. Panja","doi":"10.1109/INDICON.2017.8487581","DOIUrl":null,"url":null,"abstract":"This paper dwells upon the synchronization phenomena in Hindmarsh-Rose (HR) neuron model of $N$ number of neurons with time-varying communication delays between them. By considering a suitable Lyapunov-Krasovskii (L-K) functional, the synchronization criteria is obtained in terms of linear matrix inequality (LMI) for asymptotically stabilizing the error dynamics between the master-slave neuron configuration. The effectiveness of the proposed method is established through the numerical simulations of the neuron model.","PeriodicalId":263943,"journal":{"name":"2017 14th IEEE India Council International Conference (INDICON)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th IEEE India Council International Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDICON.2017.8487581","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper dwells upon the synchronization phenomena in Hindmarsh-Rose (HR) neuron model of $N$ number of neurons with time-varying communication delays between them. By considering a suitable Lyapunov-Krasovskii (L-K) functional, the synchronization criteria is obtained in terms of linear matrix inequality (LMI) for asymptotically stabilizing the error dynamics between the master-slave neuron configuration. The effectiveness of the proposed method is established through the numerical simulations of the neuron model.