We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence of two different types of neuronal noise), which are separated by a crossover region. Our results reveal that complex neuronal dynamics, in the presence of external stimulation, is manifested with long-range correlated noise in the region before the crossover, on the ISI time scale.
Keywords:
random time series / wavelet transform analysis / neuronal noise / Fusimotor neuron / long-range correlations / Stochastic resonance
Source:
Physica A-Statistical Mechanics & its Applications, 2007, 374, 2, 699-706
TY - JOUR
AU - Stratimirović, Đorđe
AU - Milošević, S.
AU - Blesić, Suzana
AU - Ljubisavljević, Miloš
PY - 2007
UR - https://smile.stomf.bg.ac.rs/handle/123456789/1337
AB - We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence of two different types of neuronal noise), which are separated by a crossover region. Our results reveal that complex neuronal dynamics, in the presence of external stimulation, is manifested with long-range correlated noise in the region before the crossover, on the ISI time scale.
PB - Elsevier Science Bv, Amsterdam
T2 - Physica A-Statistical Mechanics & its Applications
T1 - Wavelet transform analysis of time series generated by the stimulated neuronal activity
VL - 374
IS - 2
SP - 699
EP - 706
DO - 10.1016/j.physa.2006.08.075
ER -
@article{
author = "Stratimirović, Đorđe and Milošević, S. and Blesić, Suzana and Ljubisavljević, Miloš",
year = "2007",
abstract = "We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence of two different types of neuronal noise), which are separated by a crossover region. Our results reveal that complex neuronal dynamics, in the presence of external stimulation, is manifested with long-range correlated noise in the region before the crossover, on the ISI time scale.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Wavelet transform analysis of time series generated by the stimulated neuronal activity",
volume = "374",
number = "2",
pages = "699-706",
doi = "10.1016/j.physa.2006.08.075"
}
Stratimirović, Đ., Milošević, S., Blesić, S.,& Ljubisavljević, M.. (2007). Wavelet transform analysis of time series generated by the stimulated neuronal activity. in Physica A-Statistical Mechanics & its Applications
Elsevier Science Bv, Amsterdam., 374(2), 699-706.
https://doi.org/10.1016/j.physa.2006.08.075
Stratimirović Đ, Milošević S, Blesić S, Ljubisavljević M. Wavelet transform analysis of time series generated by the stimulated neuronal activity. in Physica A-Statistical Mechanics & its Applications. 2007;374(2):699-706.
doi:10.1016/j.physa.2006.08.075 .
Stratimirović, Đorđe, Milošević, S., Blesić, Suzana, Ljubisavljević, Miloš, "Wavelet transform analysis of time series generated by the stimulated neuronal activity" in Physica A-Statistical Mechanics & its Applications, 374, no. 2 (2007):699-706,
https://doi.org/10.1016/j.physa.2006.08.075 . .
