Wavelet analysis of discharge dynamics of fusimotor neurons

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

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


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 languageEnglish
Pages (from-to)13-23
Number of pages11
JournalPhysica A: Statistical Mechanics and its Applications
Issue number1-4
Publication statusPublished - Mar 1 2001
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics


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