title: Exploring the nonlinear dynamics of the brain.
abstract: The growing need for a better understanding of large-scale brain dynamics has stimulated in the last decade the development of new and more advanced data analysis techniques. Progress in this domain has greatly benefited from developments in nonlinear time series analysis. This review gives a short overview of some of the nonlinear properties one may wish to infer from brain recordings and presents some examples and recent applications.
authors.affiliation: Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale, LENA, CNRS UPR 640, Hôpital de la Pitié-Salpêtrière, 47 Bd. de l'Hopital, Paris 75651, France.
authors.forename: Michel
authors.initials: M
authors.lastname: Le Van Quyen
authors.forename: Mario
authors.initials: M
authors.lastname: Chavez
authors.forename: David
authors.initials: D
authors.lastname: Rudrauf
authors.forename: Jacques
authors.initials: J
authors.lastname: Martinerie
mesh_terms: D001921:Brain / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D017711:Nonlinear Dynamics