DocumentCode
3576137
Title
Synchronization of neuronal networks through local adaptive coupling
Author
Dan Shan ; Qingying Miao ; Aihua Dong ; Saiji, Erhu
Author_Institution
Coll. of Inf. Sci. & Technol., Dong Hua Univ., Shanghai, China
fYear
2014
Firstpage
2166
Lastpage
2169
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.
Keywords
adaptive control; brain; decentralised control; medical control systems; neurocontrollers; synchronisation; topology; adaptive coupling strengths; adaptive evolving networks; cats brain; cortico-cortical network; decentralized adaptive coupling control strategies; finite steady values; local adaptive coupling; neuronal networks; synchronization; topology; Adaptation models; Adaptive systems; Biological neural networks; Complex networks; Couplings; Synchronization; Visualization; adaptive coupling; neuronal networks; synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231952
Filename
7231952
Link To Document