{"title":"基于局部自适应耦合的神经网络同步","authors":"Dan Shan, Q. Miao, Aihua Dong, Erhu Saiji","doi":"10.1109/ICMC.2014.7231952","DOIUrl":null,"url":null,"abstract":"In this paper, we consider the cortico-cortical network of cats' brain, and discuss the related synchronization under the framework of adaptive evolving networks. Based on the decentralized adaptive coupling control strategies, we show that the synchronization can be achieved with the adaptive coupling strengths reaching finite steady values. Moreover, we find that when complete synchronization is achieved, the coupling strengths become correlated with the topology of the cortico-cortical networks.","PeriodicalId":104511,"journal":{"name":"2014 International Conference on Mechatronics and Control (ICMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synchronization of neuronal networks through local adaptive coupling\",\"authors\":\"Dan Shan, Q. Miao, Aihua Dong, Erhu Saiji\",\"doi\":\"10.1109/ICMC.2014.7231952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider the cortico-cortical network of cats' brain, and discuss the related synchronization under the framework of adaptive evolving networks. Based on the decentralized adaptive coupling control strategies, we show that the synchronization can be achieved with the adaptive coupling strengths reaching finite steady values. Moreover, we find that when complete synchronization is achieved, the coupling strengths become correlated with the topology of the cortico-cortical networks.\",\"PeriodicalId\":104511,\"journal\":{\"name\":\"2014 International Conference on Mechatronics and Control (ICMC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Mechatronics and Control (ICMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMC.2014.7231952\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Mechatronics and Control (ICMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMC.2014.7231952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synchronization of neuronal networks through local adaptive coupling
In this paper, we consider the cortico-cortical network of cats' brain, and discuss the related synchronization under the framework of adaptive evolving networks. Based on the decentralized adaptive coupling control strategies, we show that the synchronization can be achieved with the adaptive coupling strengths reaching finite steady values. Moreover, we find that when complete synchronization is achieved, the coupling strengths become correlated with the topology of the cortico-cortical networks.