Wavelet analysis of discharge dynamics of fusimotor neurons
Само за регистроване кориснике
2001
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
random time series / neural activity / fusimotor neuron / wavelet analysis / white noise / stochastic resonance / multifractalsИзвор:
Physica A-Statistical Mechanics & its Applications, 2001, 291, 1-4, 13-23Издавач:
- Elsevier, Amsterdam
DOI: 10.1016/S0378-4371(00)00495-7
ISSN: 0378-4371
WoS: 000167376200002
Scopus: 2-s2.0-17744411973
Колекције
Институција/група
Stomatološki fakultetTY - 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 . .