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Detecting Long‐Range Correlations in Time Series of Dorsal Horn Neuron Discharges
Author(s) -
BLESIĆ SUZANA,
STRATIMIROVIĆ DJORDJE,
MILOŠEVIĆ SAVA,
LJUBISAVLJEVIĆ MILOŠ
Publication year - 2005
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1342.046
Subject(s) - dorsum , series (stratigraphy) , detrended fluctuation analysis , noise (video) , french horn , crossover , range (aeronautics) , statistical physics , neuron , wavelet , mathematics , neuroscience , physics , biology , computer science , anatomy , acoustics , artificial intelligence , materials science , scaling , geometry , paleontology , composite material , image (mathematics)
A bstract : We 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.