We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination of muscle spindles. Besides, we apply the multifractal formalism adapted for the wavelet transform time series analysis. Thus, we have established the multifractality of the ISI data and achieved an additional insight into fusimotor discharge dynamics.
Keywords:
random time series / neural activity / fusimotor neuron / wavelet analysis / white noise / stochastic resonance / multifractals
Source:
Physica A-Statistical Mechanics & its Applications, 2001, 291, 1-4, 13-23
TY - JOUR
AU - Stratimirović, Đorđe
AU - Milošević, S.
AU - Blesić, Suzana
AU - Ljubisavljević, Miloš
PY - 2001
UR - https://smile.stomf.bg.ac.rs/handle/123456789/1132
AB - We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination of muscle spindles. Besides, we apply the multifractal formalism adapted for the wavelet transform time series analysis. Thus, we have established the multifractality of the ISI data and achieved an additional insight into fusimotor discharge dynamics.
PB - Elsevier, Amsterdam
T2 - Physica A-Statistical Mechanics & its Applications
T1 - Wavelet analysis of discharge dynamics of fusimotor neurons
VL - 291
IS - 1-4
SP - 13
EP - 23
DO - 10.1016/S0378-4371(00)00495-7
ER -
@article{
author = "Stratimirović, Đorđe and Milošević, S. and Blesić, Suzana and Ljubisavljević, Miloš",
year = "2001",
abstract = "We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mechanism in the neural coordination of muscle spindles. Besides, we apply the multifractal formalism adapted for the wavelet transform time series analysis. Thus, we have established the multifractality of the ISI data and achieved an additional insight into fusimotor discharge dynamics.",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Wavelet analysis of discharge dynamics of fusimotor neurons",
volume = "291",
number = "1-4",
pages = "13-23",
doi = "10.1016/S0378-4371(00)00495-7"
}
Stratimirović, Đ., Milošević, S., Blesić, S.,& Ljubisavljević, M.. (2001). Wavelet analysis of discharge dynamics of fusimotor neurons. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 291(1-4), 13-23.
https://doi.org/10.1016/S0378-4371(00)00495-7
Stratimirović Đ, Milošević S, Blesić S, Ljubisavljević M. Wavelet analysis of discharge dynamics of fusimotor neurons. in Physica A-Statistical Mechanics & its Applications. 2001;291(1-4):13-23.
doi:10.1016/S0378-4371(00)00495-7 .
Stratimirović, Đorđe, Milošević, S., Blesić, Suzana, Ljubisavljević, Miloš, "Wavelet analysis of discharge dynamics of fusimotor neurons" in Physica A-Statistical Mechanics & its Applications, 291, no. 1-4 (2001):13-23,
https://doi.org/10.1016/S0378-4371(00)00495-7 . .
