Detecting long-range correlations in time series of neuronal discharges
Detecting long-range correlations in time series of neuronal discharges
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DOI：
10.1016/j.physa.2003.09.002
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发表时间：
2003-12-15
影响因子：
3.3
通讯作者：
Ljubisavljevic, M
中科院分区：
文献类型：
--
作者：
Blesic, S;Milosevic, S;Ljubisavljevic, M
应用去趋势波动分析（DFA）和小波变换（WT）技术对背角神经元放电动力学进行了研究。我们采用脉冲间间隔（ISI）的随机时间序列，即两个连续神经元电活动之间的间隔来表现放电动力学。在研究的所有案例中，我们发现ISI枚举尺度上有两种不同的幂律型行为，它们被交叉区域分开。我们的研究结果表明，在外界刺激的存在下，复杂的神经元动力学可能会发生变化，这表现在交叉区域之前出现的噪声特征发生变化（交叉区域之后的噪声为1/f型）。(C) 2003 Elsevier B.V.版权所有
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). (C) 2003 Elsevier B.V. All rights reserved.