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This article is cited in 168 scientific papers (total in 169 papers)
REVIEWS OF TOPICAL PROBLEMS
Wavelet analysis in neurodynamics
A. N. Pavlova, A. E. Hramovab, A. A. Koronovskiia, E. Yu. Sitnikovac, V. A Makarovd, A. A. Ovchinnikova a N. G. Chernyshevsky Saratov State University
b Yu.A. Gagarin Saratov State Technical University
c Institute for Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow
d Universidad Complutense de Madrid, F.CC. Mathematicas
Abstract:
Results obtained using continuous and discrete wavelet transforms as applied to problems in neurodynamics are reviewed, with the emphasis on the potential of wavelet analysis for decoding signal information from neural systems and networks. The following areas of application are considered: (1) the microscopic dynamics of single cells and intracellular processes, (2) sensory data processing, (3) the group dynamics of neuronal ensembles, and (4) the macrodynamics of rhythmical brain activity (using multichannel EEG recordings). The detection and classification of various oscillatory patterns of brain electrical activity and the development of continuous wavelet-based brain activity monitoring systems are also discussed as possibilities.
Received: October 6, 2011 Revised: March 18, 2012 Accepted: March 20, 2012
Citation:
A. N. Pavlov, A. E. Hramov, A. A. Koronovskii, E. Yu. Sitnikova, V. A Makarov, A. A. Ovchinnikov, “Wavelet analysis in neurodynamics”, UFN, 182:9 (2012), 905–939; Phys. Usp., 55:9 (2012), 845–875
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https://www.mathnet.ru/eng/ufn4164 https://www.mathnet.ru/eng/ufn/v182/i9/p905
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