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dc.creatorDestro, JB
dc.creatorBlesić, Suzana
dc.creatorPeixoto, N
dc.date.accessioned2021-04-20T12:06:17Z
dc.date.available2021-04-20T12:06:17Z
dc.date.issued2002
dc.identifier.issn1211-412X
dc.identifier.urihttp://rimi.imi.bg.ac.rs/handle/123456789/72
dc.description.abstractIn this work, series of action potentials recorded in vivo from spontaneously active neurons in an invertebrate experimental model are analysed, using the high-order statistics framework. The high-order correlations of these time series were estimated and compared with the high-order correlations of other signals, such as the output of (non)linear prediction-error filters and (high-order) iid white noise. Our experimental results provide the basis,for the analysis of spontaneous activity as a kind of "white noise" or a (non)linear prediction process.en
dc.publisherBrno Univ Technology Vut Press, Brno
dc.rightsrestrictedAccess
dc.sourceAnalysis of Biomedical Signals & Images, Proceedings
dc.titleHigh-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activityen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage164
dc.citation.other: 162-164
dc.citation.spage162
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_rimi_72
dc.identifier.wos000178613000051
dc.type.versionpublishedVersion


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