dc.creator | Milošević, S | |
dc.creator | Blesić, Suzana | |
dc.creator | Stratimirović, D | |
dc.date.accessioned | 2021-04-20T12:06:13Z | |
dc.date.available | 2021-04-20T12:06:13Z | |
dc.date.issued | 2002 | |
dc.identifier.issn | 0378-4371 | |
dc.identifier.uri | http://rimi.imi.bg.ac.rs/handle/123456789/71 | |
dc.description.abstract | We have analyzed spontaneous discharge dynamics of fasimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time series generated by the neuron discharges. We concluded that such a discharge. dynamics represents the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination. of muscle spindles. This finding appears to be very intriguing; since it provided for the first time statistical characterization of the neuronal noise. | en |
dc.publisher | Elsevier, Amsterdam | |
dc.rights | restrictedAccess | |
dc.source | Physica A-Statistical Mechanics & its Applications | |
dc.subject | random time series | en |
dc.subject | fusimotor neuron | en |
dc.subject | white noise | en |
dc.subject | stochastic resonance | en |
dc.title | Beneficial randomness of signals in a neuronal circuit | en |
dc.type | article | |
dc.rights.license | ARR | |
dc.citation.epage | 52 | |
dc.citation.issue | 1-4 | |
dc.citation.other | 314(1-4): 43-52 | |
dc.citation.rank | M22 | |
dc.citation.spage | 43 | |
dc.citation.volume | 314 | |
dc.identifier.doi | 10.1016/S0378-4371(02)01184-6 | |
dc.identifier.scopus | 2-s2.0-0036936018 | |
dc.identifier.wos | 000179502800006 | |
dc.type.version | publishedVersion | |