Using nonlinear dynamic metric tools for characterizing brain structures

Abstract

The collective dynamic behavior of the neural mass of different brain structures can be assessed from electroencephalographic recordings with depth electrodes measurements at regular time intervals (EEG time series). In recent years, the cheery of nonlinear dynamics has developed methods for quantitative analysis of experimental time series. The aim of this… (More)

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Cite this paper

@article{Blanco1997UsingND, title={Using nonlinear dynamic metric tools for characterizing brain structures}, author={Sylvie Blanco and Alejandra Figliola and S. Kochen and O. A. Rosso}, journal={IEEE Engineering in Medicine and Biology Magazine}, year={1997}, volume={16}, pages={83-92} }