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

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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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 languageEnglish
Pages (from-to)699-706
Number of pages8
JournalPhysica A: Statistical Mechanics and its Applications
Issue number2
Publication statusPublished - Feb 1 2007
Externally publishedYes


  • 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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