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Wavelet transform analysis of time series generated by the stimulated neuronal activity
Faculty of Stomatology, Department of Physics, University of Belgrade, Belgrade, Serbia and Montenegro.
Faculty of Physics, University of Belgrade, Belgrade, Serbia and Montenegro.
Institute for Medical Research, Laboratory for Neurophysiology, Belgrade, Serbia and Montenegro.
University of Gävle, Centre for Musculoskeletal Research.
2007 (English)In: Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, E-ISSN 1873-2119, Vol. 374, no 2, p. 699-706Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2007. Vol. 374, no 2, p. 699-706
Keywords [en]
random time series, wavelet transform analysis, neuronal noise, Fusimotor neuron, long-range correlations, Stochastic resonance
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:hig:diva-22664DOI: 10.1016/j.physa.2006.08.075ISI: 000243621000020Scopus ID: 2-s2.0-33751352087OAI: oai:DiVA.org:hig-22664DiVA, id: diva2:1040332
Available from: 2016-10-27 Created: 2016-10-27 Last updated: 2018-01-14Bibliographically approved

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