Using nonlinear dynamic metric tools for characterizing brain structures

Global brain dynamics are characterized in terms of electrical activity using nonlinear dynamic metric tools. The brain's spontaneous electrical activity is not a simple noise but an active signal reflecting causal responses from hidden events and sources during sensory and cognitive processing...

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Detalles Bibliográficos
Autores principales: Blanco, S., Figliola, A., Kochen, S., Rosso, O.A.
Formato: JOUR
Materias:
Nonlinear dynamic metric tools
Algorithms
Correlation methods
Electroencephalography
Lyapunov methods
Signal processing
Brain
algorithm
brain
electroencephalogram
nonlinear system
review
Epilepsy
Humans
Models, Neurological
Nonlinear Dynamics
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_07395175_v16_n4_p83_Blanco
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:Global brain dynamics are characterized in terms of electrical activity using nonlinear dynamic metric tools. The brain's spontaneous electrical activity is not a simple noise but an active signal reflecting causal responses from hidden events and sources during sensory and cognitive processing of the brain. The time evolution of the system is described by a low-dimensional deterministic dynamics. The nonlinear dynamic metric invariants are dependent on brain structure as well as brain activity.

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