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dc.creatorBlesić, Suzana
dc.creatorStratimirović, Đorđe
dc.creatorMilošević, S.
dc.creatorLjubisavljević, Miloš
dc.date.accessioned2020-07-02T12:09:30Z
dc.date.available2020-07-02T12:09:30Z
dc.date.issued2005
dc.identifier.issn0077-8923
dc.identifier.urihttp://smile.stomf.bg.ac.rs/handle/123456789/1267
dc.description.abstractWe have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspike intervals enumeration scale, that are separated by crossover regions (which implies existence of two different types of neuronal noise). Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, manifested by changing of the noise characteristics that appear before crossover.en
dc.publisherNew York Acad Sciences, New York
dc.rightsrestrictedAccess
dc.sourceBiophysics from Molecules to Brain: in Memory of Radoslav K. Andjus
dc.subjecttime seriesen
dc.subjectwavelet transform analysisen
dc.subjectDFA analysisen
dc.subjectneuronal noiseen
dc.titleDetecting long-range correlations in time series of dorsal horn neuron dischargesen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractМилошевић, С; Љубисављевић, Милош; Блесић, Сузана; Стратимировић, Ђорђе;
dc.citation.volume1048
dc.citation.spage385
dc.citation.epage391
dc.citation.other1048: 385-391
dc.citation.rankM21
dc.identifier.wos000233712300043
dc.identifier.doi10.1196/annals.1342.046
dc.identifier.pmid16154959
dc.identifier.scopus2-s2.0-25144442171
dc.identifier.rcubconv_2668
dc.type.versionpublishedVersion


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