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).
Keywords:
random time series / neuronal activity / neuronal noise / long-range correlations
Source:
Physica A-Statistical Mechanics & its Applications, 2003, 330, 3-4, 391-399
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 . .
