Synchronization of neuronal networks through local adaptive coupling

被引：0
|
作者：
Shan, Dan [1 ]
Miao, Qingying [2 ]
Dong, Aihua [1 ]
Saiji, Erhu [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Continuing Educ, Shanghai 200030, Peoples R China
来源：
2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC) | 2014年
基金：
上海市自然科学基金; 中国国家自然科学基金;
关键词：
neuronal networks; adaptive coupling; synchronization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：2166 / 2169
页数：4
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