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Modulating the Precision of Recurrent Bursts in Cultured Neural Networks

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dc.contributor.authorChoi, Joon Ho-
dc.contributor.authorKim, June Hoan-
dc.contributor.authorHeo, Ryoun-
dc.contributor.authorLee, Kyoung J.-
dc.date.accessioned2021-09-06T22:10:30Z-
dc.date.available2021-09-06T22:10:30Z-
dc.date.created2021-06-18-
dc.date.issued2012-03-28-
dc.identifier.issn0031-9007-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/108952-
dc.description.abstractSynchronized bursts are a very common feature in biological neural networks, and they play an important role in various brain functions and neurological diseases. This Letter investigates "recurrent synchronized bursts" induced by a single pulse stimulation in cultured networks of rat cortical neurons. We look at how the precision in their arrival times can be modified by a noble time-delayed stimulation protocol, which we term as "Delta t training." The emergence of recurrent bursts and the change of the precision in their arrival times can be explained by the stochastic resonance of a damped, subthreshold, neural oscillation.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherAMER PHYSICAL SOC-
dc.subjectACTIVITY PATTERNS-
dc.subjectPLASTICITY-
dc.subjectDEPRESSION-
dc.subjectMECHANISMS-
dc.subjectSTRENGTH-
dc.titleModulating the Precision of Recurrent Bursts in Cultured Neural Networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Kyoung J.-
dc.identifier.doi10.1103/PhysRevLett.108.138103-
dc.identifier.scopusid2-s2.0-84859317477-
dc.identifier.wosid000302019600015-
dc.identifier.bibliographicCitationPHYSICAL REVIEW LETTERS, v.108, no.13-
dc.relation.isPartOfPHYSICAL REVIEW LETTERS-
dc.citation.titlePHYSICAL REVIEW LETTERS-
dc.citation.volume108-
dc.citation.number13-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.subject.keywordPlusACTIVITY PATTERNS-
dc.subject.keywordPlusPLASTICITY-
dc.subject.keywordPlusDEPRESSION-
dc.subject.keywordPlusMECHANISMS-
dc.subject.keywordPlusSTRENGTH-
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