Wavelet transform analysis of time series generated by the stimulated neuronal activity
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.
Keywords:
random time series / wavelet transform analysis / neuronal noise / Fusimotor neuron / long-range correlations / Stochastic resonanceSource:
Physica A-Statistical Mechanics & its Applications, 2007, 374, 2, 699-706Publisher:
- Elsevier Science Bv, Amsterdam
DOI: 10.1016/j.physa.2006.08.075
ISSN: 0378-4371
WoS: 000243621000020
Scopus: 2-s2.0-33751352087
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Institution/Community
Stomatološki fakultetTY - 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 . .