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Article: Synchronous phase clustering in a network of neurons with spatially decaying excitatory coupling

TitleSynchronous phase clustering in a network of neurons with spatially decaying excitatory coupling
Authors
KeywordsNetwork
Neuron
Noise
Synchronization
Issue Date2003
PublisherInstitute of Pure and Applied Physics. The Journal's web site is located at http://www.ipap.jp/jpsj/index.htm
Citation
Journal Of The Physical Society Of Japan, 2003, v. 72 n. 2, p. 443-447 How to Cite?
AbstractSynchronization is studied in a spatially-distributed network of weekly-coupled, excitatory neurons of Hodgkin-Huxley type. All neurons are coupled to each other synaptically with a fixed time delay and a coupling strength inversely proportional to the distance between two neurons. We found that a robust, noise-resistant phase clustering state occurred regardless of the initial phase distribution. This has not been shown in previous studies where similar clustering states were found only when the coupling was inhibitory. The spatial distribution of neurons in each synchronous cluster is determined by the spatial distribution of the coupling strength. Phase-interaction properties of the model neurons in the network are used to explain why such a clustering state can be robust. © 2003 The Physical Society of Japan.
Persistent Identifierhttp://hdl.handle.net/10722/80821
ISSN
2015 Impact Factor: 1.559
2015 SCImago Journal Rankings: 0.720
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorWang, ZDen_HK
dc.contributor.authorLi, YXen_HK
dc.contributor.authorPei, Xen_HK
dc.date.accessioned2010-09-06T08:10:39Z-
dc.date.available2010-09-06T08:10:39Z-
dc.date.issued2003en_HK
dc.identifier.citationJournal Of The Physical Society Of Japan, 2003, v. 72 n. 2, p. 443-447en_HK
dc.identifier.issn0031-9015en_HK
dc.identifier.urihttp://hdl.handle.net/10722/80821-
dc.description.abstractSynchronization is studied in a spatially-distributed network of weekly-coupled, excitatory neurons of Hodgkin-Huxley type. All neurons are coupled to each other synaptically with a fixed time delay and a coupling strength inversely proportional to the distance between two neurons. We found that a robust, noise-resistant phase clustering state occurred regardless of the initial phase distribution. This has not been shown in previous studies where similar clustering states were found only when the coupling was inhibitory. The spatial distribution of neurons in each synchronous cluster is determined by the spatial distribution of the coupling strength. Phase-interaction properties of the model neurons in the network are used to explain why such a clustering state can be robust. © 2003 The Physical Society of Japan.en_HK
dc.languageengen_HK
dc.publisherInstitute of Pure and Applied Physics. The Journal's web site is located at http://www.ipap.jp/jpsj/index.htmen_HK
dc.relation.ispartofJournal of the Physical Society of Japanen_HK
dc.subjectNetworken_HK
dc.subjectNeuronen_HK
dc.subjectNoiseen_HK
dc.subjectSynchronizationen_HK
dc.titleSynchronous phase clustering in a network of neurons with spatially decaying excitatory couplingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0031-9015&volume=72&spage=443&epage=447&date=2003&atitle=Synchronous+phase+clustering+in+a+network+of+neurons+with+spatially+decaying+excitatory+couplingen_HK
dc.identifier.emailWang, ZD: zwang@hkucc.hku.hken_HK
dc.identifier.authorityWang, ZD=rp00802en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1143/JPSJ.72.443en_HK
dc.identifier.scopuseid_2-s2.0-0037241311en_HK
dc.identifier.hkuros77188en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037241311&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume72en_HK
dc.identifier.issue2en_HK
dc.identifier.spage443en_HK
dc.identifier.epage447en_HK
dc.identifier.isiWOS:000181068200043-
dc.publisher.placeJapanen_HK
dc.identifier.scopusauthoridWang, Y=7601487807en_HK
dc.identifier.scopusauthoridWang, ZD=14828459100en_HK
dc.identifier.scopusauthoridLi, YX=7502079113en_HK
dc.identifier.scopusauthoridPei, X=7102484682en_HK

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