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High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity
dc.creator | Destro, JB | |
dc.creator | Blesić, Suzana | |
dc.creator | Peixoto, N | |
dc.date.accessioned | 2021-04-20T12:06:17Z | |
dc.date.available | 2021-04-20T12:06:17Z | |
dc.date.issued | 2002 | |
dc.identifier.issn | 1211-412X | |
dc.identifier.uri | http://rimi.imi.bg.ac.rs/handle/123456789/72 | |
dc.description.abstract | In 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.publisher | Brno Univ Technology Vut Press, Brno | |
dc.rights | restrictedAccess | |
dc.source | Analysis of Biomedical Signals & Images, Proceedings | |
dc.title | High-order statistical analysis of neuronal coding: Case study on the "whiteness" of spontaneous activity | en |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dc.citation.epage | 164 | |
dc.citation.other | : 162-164 | |
dc.citation.spage | 162 | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_rimi_72 | |
dc.identifier.wos | 000178613000051 | |
dc.type.version | publishedVersion |
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