Wavelet analysis of discharge dynamics of fusimotor neurons

We study the interspike intervals (ISI) time series of the spontaneous fusi motor neuron activity by applying the wavelet transform analysis and confir m the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy compon ent for occurrence of the stochastic resonance mechanism in the neural coor dination of muscle spindles. Besides, we apply the multifractal formalism a dapted for the wavelet transform time series analysis. Thus, we have establ ished the multifractality of the ISI data and achieved an additional insigh t into fusimotor discharge dynamics. (C) 2001 Elsevier Science B.V. All rig hts reserved.