Wavelet analysis of discharge dynamics of fusimotor neurons

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

doi:10.1016/S0378-4371(00)00495-7

Wavelet analysis of discharge dynamics of fusimotor neurons

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

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

17 Citations (Scopus)

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.

Original language	English
Pages (from-to)	13-23
Number of pages	11
Journal	Physica A: Statistical Mechanics and its Applications
Volume	291
Issue number	1-4
DOIs	https://doi.org/10.1016/S0378-4371(00)00495-7
Publication status	Published - Mar 1 2001
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Condensed Matter Physics

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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.",

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AU - Milošević, S.

AU - Blesić, S.

AU - Ljubisavljević, M.

PY - 2001/3/1

Y1 - 2001/3/1

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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.

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Wavelet analysis of discharge dynamics of fusimotor neurons

Abstract

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