Synchronization of Neuronal Networks via Control Rank Pinning Scheme
Joint Authors
Miao, Qingying
Shan, Dan
Wong, WaiKeung
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Miao, Qingying& Wong, WaiKeung& Shan, Dan. 2013. Synchronization of Neuronal Networks via Control Rank Pinning Scheme. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032396
Modern Language Association (MLA)
Miao, Qingying…[et al.]. Synchronization of Neuronal Networks via Control Rank Pinning Scheme. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032396
American Medical Association (AMA)
Miao, Qingying& Wong, WaiKeung& Shan, Dan. Synchronization of Neuronal Networks via Control Rank Pinning Scheme. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032396
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032396