Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5272
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dc.contributorDepartment of Electrical Engineering-
dc.creatorYu, H-
dc.creatorWang, J-
dc.creatorDeng, B-
dc.creatorWei, X-
dc.creatorWong, YK-
dc.creatorChan, WL-
dc.creatorTsang, KM-
dc.creatorYu, Z-
dc.date.accessioned2014-12-11T08:29:05Z-
dc.date.available2014-12-11T08:29:05Z-
dc.identifier.issn1054-1500-
dc.identifier.urihttp://hdl.handle.net/10397/5272-
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rights© 2011 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in H. Yu et al., Chaos: an interdisciplinary journal of nonlinear science 21, 013127 (2011) and may be found at http://link.aip.org/link/?cha/21/013127en_US
dc.subjectBioelectric phenomenaen_US
dc.subjectBrain modelsen_US
dc.subjectChaosen_US
dc.subjectComplex networksen_US
dc.subjectnetwork topologyen_US
dc.subjectNeurophysiologyen_US
dc.subjectNonlinear dynamical systemsen_US
dc.subjectSynchronisationen_US
dc.titleChaotic phase synchronization in small-world networks of bursting neuronsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Y. K. Wongen_US
dc.description.otherinformationAuthor name used in this publication: W. L. Chanen_US
dc.description.otherinformationAuthor name used in this publication: K. M. Tsangen_US
dc.identifier.spage1-
dc.identifier.epage9-
dc.identifier.volume21-
dc.identifier.issue1-
dc.identifier.doi10.1063/1.3565027-
dcterms.abstractWe investigate the chaotic phase synchronization in a system of coupled bursting neurons in small-world networks. A transition to mutual phase synchronization takes place on the bursting time scale of coupled oscillators, while on the spiking time scale, they behave asynchronously. It is shown that phase synchronization is largely facilitated by a large fraction of shortcuts, but saturates when it exceeds a critical value. We also study the external chaotic phase synchronization of bursting oscillators in the small-world network by a periodic driving signal applied to a single neuron. It is demonstrated that there exists an optimal small-world topology, resulting in the largest peak value of frequency locking interval in the parameter plane, where bursting synchronization is maintained, even with the external driving. The width of this interval increases with the driving amplitude, but decrease rapidly with the network size. We infer that the externally applied driving parameters outside the frequency locking region can effectively suppress pathologically synchronized rhythms of bursting neurons in the brain.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationChaos, Mar. 2011, v. 21, no. 1, 013127, p. 1-9-
dcterms.isPartOfChaos-
dcterms.issued2011-03-
dc.identifier.isiWOS:000289149100027-
dc.identifier.scopus2-s2.0-79953276580-
dc.identifier.eissn1089-7682-
dc.identifier.rosgroupidr50967-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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