Document - Complex intermittency blurred by noise: theory and application to neural dynamics

2010

Journal article Open Access

Complex intermittency blurred by noise: theory and application to neural dynamics

Allegrini P., Menicucci D., Bedini R., Gemignani A., Paradisi P.

Fractal intermittency J.3 LIFE AND MEDICAL SCIENCES Brain dynamics I.5.4 PATTERN RECOGNITION. Applications 46N30

We propose a model for the passage between metastable states of mind dynamics. As changing points we use the rapid transition processes simultaneously detectable in EEG signals related to different cortical areas. Our model consists of a non-Poissonian intermittent process, which signals that the brain is in a condition of complexity, upon which a Poisson process is superimposed. We provide an analytical solution for the waiting- time distribution for the model, which is well obeyed by physiological data. Although the role of the Poisson process remains unexplained, the model is able to reproduce many behaviors reported in literature, although they seem contradictory.

Source: Physical review. E, Statistical, nonlinear and soft matter physics (Online) 82 (2010): 015103-1–015103-4. doi:10.1103/PhysRevE.82.015103

Publisher: Published by the American Physical Society through the American Institute of Physics,, Melville, N.Y. , Stati Uniti d'America

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@article{oai:it.cnr:prodotti:44236,
	title = {Complex intermittency blurred by noise: theory and application to neural dynamics},
	author = {Allegrini P. and Menicucci D. and Bedini R. and Gemignani A. and Paradisi P.},
	publisher = {Published by the American Physical Society through the American Institute of Physics,, Melville, N.Y. , Stati Uniti d'America},
	doi = {10.1103/physreve.82.015103},
	journal = {Physical review. E, Statistical, nonlinear and soft matter physics (Online)},
	volume = {82},
	pages = {015103},
	year = {2010}
}