Wavelet transform analysis of time series generated by the stimulated neuronal activity

Dj Stratimirović; S. Milošević; S. Blesić; M. Ljubisavljević

doi:10.1016/j.physa.2006.08.075

Wavelet transform analysis of time series generated by the stimulated neuronal activity

Dj Stratimirović, S. Milošević, S. Blesić, M. Ljubisavljević

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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.

Original language	English
Pages (from-to)	699-706
Number of pages	8
Journal	Physica A: Statistical Mechanics and its Applications
Volume	374
Issue number	2
DOIs	https://doi.org/10.1016/j.physa.2006.08.075
Publication status	Published - Feb 1 2007
Externally published	Yes

Keywords

Fusimotor neuron
Long-range correlations
Neuronal noise
Random time series
Stochastic resonance
Wavelet transform analysis

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Statistics and Probability

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10.1016/j.physa.2006.08.075

Cite this

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title = "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 = "Fusimotor neuron, Long-range correlations, Neuronal noise, Random time series, Stochastic resonance, Wavelet transform analysis",

author = "Dj Stratimirovi{\'c} and S. Milo{\v s}evi{\'c} and S. Blesi{\'c} and M. Ljubisavljevi{\'c}",

note = "Funding Information: This work was supported by Serbian Ministry of Science Research Grant nos. 141020 and 145083.",

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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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Wavelet transform analysis of time series generated by the stimulated neuronal activity

Abstract

Keywords

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