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Wavelet analysis of discharge dynamics of fusimotor neurons

Author

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

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.

Suggested Citation

  • Stratimirović, Dj. & Milošević, S. & Blesić, S. & Ljubisavljević, M., 2001. "Wavelet analysis of discharge dynamics of fusimotor neurons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 291(1), pages 13-23.
    • Handle: RePEc:eee:phsmap:v:291:y:2001:i:1:p:13-23
    DOI: 10.1016/S0378-4371(00)00495-7
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    Cited by:

    1. Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    2. Sarvan, D. & Stratimirović, Đ. & Blesić, S. & Djurdjevic, V. & Miljković, V. & Ajtić, J., 2017. "Dynamics of beryllium-7 specific activity in relation to meteorological variables, tropopause height, teleconnection indices and sunspot number," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 813-823.

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