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
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;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231952
