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 . .

TY  - JOUR
AU  - Blesić, Suzana
AU  - Stratimirović, Đorđe
AU  - Milošević, S.
AU  - Ljubisavljević, Miloš
PY  - 2005
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1267
AB  - We have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspike intervals enumeration scale, that are separated by crossover regions (which implies existence of two different types of neuronal noise). Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, manifested by changing of the noise characteristics that appear before crossover.
PB  - New York Acad Sciences, New York
T2  - Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus
T1  - Detecting long-range correlations in time series of dorsal horn neuron discharges
VL  - 1048
SP  - 385
EP  - 391
DO  - 10.1196/annals.1342.046
ER  - 

@article{
author = "Blesić, Suzana and Stratimirović, Đorđe and Milošević, S. and Ljubisavljević, Miloš",
year = "2005",
abstract = "We have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspike intervals enumeration scale, that are separated by crossover regions (which implies existence of two different types of neuronal noise). Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, manifested by changing of the noise characteristics that appear before crossover.",
publisher = "New York Acad Sciences, New York",
journal = "Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus",
title = "Detecting long-range correlations in time series of dorsal horn neuron discharges",
volume = "1048",
pages = "385-391",
doi = "10.1196/annals.1342.046"
}

Blesić, S., Stratimirović, Đ., Milošević, S.,& Ljubisavljević, M.. (2005). Detecting long-range correlations in time series of dorsal horn neuron discharges. in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus
New York Acad Sciences, New York., 1048, 385-391.
https://doi.org/10.1196/annals.1342.046

Blesić S, Stratimirović Đ, Milošević S, Ljubisavljević M. Detecting long-range correlations in time series of dorsal horn neuron discharges. in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus. 2005;1048:385-391.
doi:10.1196/annals.1342.046 .

Blesić, Suzana, Stratimirović, Đorđe, Milošević, S., Ljubisavljević, Miloš, "Detecting long-range correlations in time series of dorsal horn neuron discharges" in Biophysics from Molecules to Brain: in Memory of Radoslav K. Andjus, 1048 (2005):385-391,
https://doi.org/10.1196/annals.1342.046 . .

TY  - JOUR
AU  - Blesić, Suzana
AU  - Milošević, S.
AU  - Stratimirović, Đorđe
AU  - Ljubisavljević, Miloš
PY  - 2003
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/1191
AB  - We have studied the discharge dynamics of dorsal horn neurons (DHN) by applying the detrended fluctuation analysis (DFA) and the wavelet transform (WT) technique. We have adopted that discharge dynamics is manifested by the random time series of the interspike intervals (ISI), that is, by intervals between two consecutive neuronal electrical activities. In all cases studied, we found two different power-law type behaviors across ISI enumeration scale, that are separated by a crossover region. Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, which is manifested by changing the noise characteristics that appear before the crossover region (the noise after the crossover region is of the 1/f type).
PB  - Elsevier, Amsterdam
T2  - Physica A-Statistical Mechanics & its Applications
T1  - Detecting long-range correlations in time series of neuronal discharges
VL  - 330
IS  - 3-4
SP  - 391
EP  - 399
DO  - 10.1016/j.physa.2003.09.002
ER  - 

@article{
author = "Blesić, Suzana and Milošević, S. and Stratimirović, Đorđe and Ljubisavljević, Miloš",
year = "2003",
abstract = "We have studied the discharge dynamics of dorsal horn neurons (DHN) by applying the detrended fluctuation analysis (DFA) and the wavelet transform (WT) technique. We have adopted that discharge dynamics is manifested by the random time series of the interspike intervals (ISI), that is, by intervals between two consecutive neuronal electrical activities. In all cases studied, we found two different power-law type behaviors across ISI enumeration scale, that are separated by a crossover region. Our results reveal that complex neuronal dynamics may change in the presence of external stimulation, which is manifested by changing the noise characteristics that appear before the crossover region (the noise after the crossover region is of the 1/f type).",
publisher = "Elsevier, Amsterdam",
journal = "Physica A-Statistical Mechanics & its Applications",
title = "Detecting long-range correlations in time series of neuronal discharges",
volume = "330",
number = "3-4",
pages = "391-399",
doi = "10.1016/j.physa.2003.09.002"
}

Blesić, S., Milošević, S., Stratimirović, Đ.,& Ljubisavljević, M.. (2003). Detecting long-range correlations in time series of neuronal discharges. in Physica A-Statistical Mechanics & its Applications
Elsevier, Amsterdam., 330(3-4), 391-399.
https://doi.org/10.1016/j.physa.2003.09.002

Blesić S, Milošević S, Stratimirović Đ, Ljubisavljević M. Detecting long-range correlations in time series of neuronal discharges. in Physica A-Statistical Mechanics & its Applications. 2003;330(3-4):391-399.
doi:10.1016/j.physa.2003.09.002 .

Blesić, Suzana, Milošević, S., Stratimirović, Đorđe, Ljubisavljević, Miloš, "Detecting long-range correlations in time series of neuronal discharges" in Physica A-Statistical Mechanics & its Applications, 330, no. 3-4 (2003):391-399,
https://doi.org/10.1016/j.physa.2003.09.002 . .

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 . .