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

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

Physica A: Statistical Mechanics and its Applications, 2007, vol. 374, issue 2, 699-706

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.

Keywords: Random time series; Wavelet transform analysis; Neuronal noise; Fusimotor neuron; Long-range correlations; Stochastic resonance (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:374:y:2007:i:2:p:699-706

DOI: 10.1016/j.physa.2006.08.075

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