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

Author

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

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.

Suggested Citation

  • Stratimirović, Dj. & Milošević, S. & Blesić, S. & Ljubisavljević, M., 2007. "Wavelet transform analysis of time series generated by the stimulated neuronal activity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(2), pages 699-706.
    • Handle: RePEc:eee:phsmap:v:374:y:2007:i:2:p:699-706
    DOI: 10.1016/j.physa.2006.08.075
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    Cited by:

    1. Bozhokin, S.V. & Suslova, I.B., 2015. "Wavelet-based analysis of spectral rearrangements of EEG patterns and of non-stationary correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 151-160.

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