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

• Published in: Physica A Vol. 374; no. 2; pp. 699 - 706
• Main Authors: Stratimirovic, Dj, Milosevic, S., Blesic, S., Ljubisavljevic, M.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-02-2007
• Subjects: Fusimotor neuron; Long-range correlations; Neuronal noise; Random time series; Stochastic resonance; Wavelet transform analysis; Long-range correlations; Fusimotor neuron; Random time series; Wavelet transform analysis; Stochastic resonance; Neuronal noise
• ISSN: 0378-4371; 1873-2119; 1873-2119
• DOI: 10.1016/j.physa.2006.08.075

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.