Wavelet analysis of discharge dynamics of fusimotor neurons
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.
Keywords:
random time series / neural activity / fusimotor neuron / wavelet analysis / white noise / stochastic resonance / multifractalsSource:
Physica A-Statistical Mechanics & its Applications, 2001, 291, 1-4, 13-23Publisher:
- Elsevier, Amsterdam
DOI: 10.1016/S0378-4371(00)00495-7
ISSN: 0378-4371
WoS: 000167376200002
Scopus: 2-s2.0-17744411973
Collections
Institution/Community
Institut za medicinska istraživanjaTY - JOUR AU - Stratimirović, D AU - Milošević, S AU - Blesić, Suzana AU - Ljubisavljević, Miloš PY - 2001 UR - http://rimi.imi.bg.ac.rs/handle/123456789/70 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 EP - 23 IS - 1-4 SP - 13 VL - 291 DO - 10.1016/S0378-4371(00)00495-7 UR - conv_1381 ER -
@article{ author = "Stratimirović, D 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", pages = "23-13", number = "1-4", volume = "291", doi = "10.1016/S0378-4371(00)00495-7", url = "conv_1381" }
Stratimirović, D., 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 conv_1381
Stratimirović D, 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 conv_1381 .
Stratimirović, D, 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 ., conv_1381 .