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|Title:||Synchronization of neuronal networks via control rank pinning scheme||Authors:||Miao, Q
|Issue Date:||2013||Publisher:||Hindawi Publishing Corporation||Source:||Mathematical problems in engineering, 2013, v. 2013, 835037, p. 1-7 How to cite?||Journal:||Mathematical problems in engineering||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.||URI:||http://hdl.handle.net/10397/80105||ISSN:||1024-123X||EISSN:||1563-5147||DOI:||10.1155/2013/835037||Rights:||Copyright © 2013 Qingying Miao et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Miao, Q., Wong, W. K., & Shan, D. (2013). Synchronization of neuronal networks via control rank pinning scheme. Mathematical Problems in Engineering, 2013, 835037, 1-7 is available at https://dx.doi.org/10.1155/2013/835037
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