Synchronization of Neuronal Networks via Control Rank Pinning Scheme. (18th March 2013)

• Record Type: Journal Article
• Authors: Miao, Qingying; Wong, W. K.; Shan, Dan
• Other Names: Tang Yang Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2013(2013)
• Publication Date: 2013-03-18
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2013/835037
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Recent studies have proposed the controlling regions in the corticocortical network of cats' brain at different scales. Here we study pinning control using a simple model of coupled oscillators assigned to cortical areas in the corticocortical network of cats' brain. We analyze control rank (CR) values of areas in the cortical network. It is found that most of the hubs have bigger CR values than other nodes in the same functional community. Moreover, we analyze the synchrony state of the functional communities in the cortical network, revealing that a community with a larger percentage of pinned nodes inside will be conducive to synchronization.