TY - JOUR
T1 - Wavelet transform analysis of time series generated by the stimulated neuronal activity
AU - Stratimirović, Dj
AU - Milošević, S.
AU - Blesić, S.
AU - Ljubisavljević, M.
N1 - Funding Information:
This work was supported by Serbian Ministry of Science Research Grant nos. 141020 and 145083.
PY - 2007/2/1
Y1 - 2007/2/1
N2 - 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.
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.
KW - Fusimotor neuron
KW - Long-range correlations
KW - Neuronal noise
KW - Random time series
KW - Stochastic resonance
KW - Wavelet transform analysis
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U2 - 10.1016/j.physa.2006.08.075
DO - 10.1016/j.physa.2006.08.075
M3 - Article
AN - SCOPUS:33751352087
SN - 0378-4371
VL - 374
SP - 699
EP - 706
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
IS - 2
ER -