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

Civil Engineering

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