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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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
id todo:paper_07395175_v16_n4_p83_Blanco
record_format dspace
spelling todo:paper_07395175_v16_n4_p83_Blanco2023-10-03T15:38:03Z Using nonlinear dynamic metric tools for characterizing brain structures Blanco, S. Figliola, A. Kochen, S. Rosso, O.A. Nonlinear dynamic metric tools Algorithms Correlation methods Electroencephalography Lyapunov methods Signal processing Brain algorithm brain electroencephalogram nonlinear system review Algorithms Brain Electroencephalography Epilepsy Humans Models, Neurological Nonlinear Dynamics 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. Fil:Blanco, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Figliola, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_07395175_v16_n4_p83_Blanco
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Nonlinear dynamic metric tools
Algorithms
Correlation methods
Electroencephalography
Lyapunov methods
Signal processing
Brain
algorithm
brain
electroencephalogram
nonlinear system
review
Algorithms
Brain
Electroencephalography
Epilepsy
Humans
Models, Neurological
Nonlinear Dynamics
spellingShingle Nonlinear dynamic metric tools
Algorithms
Correlation methods
Electroencephalography
Lyapunov methods
Signal processing
Brain
algorithm
brain
electroencephalogram
nonlinear system
review
Algorithms
Brain
Electroencephalography
Epilepsy
Humans
Models, Neurological
Nonlinear Dynamics
Blanco, S.
Figliola, A.
Kochen, S.
Rosso, O.A.
Using nonlinear dynamic metric tools for characterizing brain structures
topic_facet Nonlinear dynamic metric tools
Algorithms
Correlation methods
Electroencephalography
Lyapunov methods
Signal processing
Brain
algorithm
brain
electroencephalogram
nonlinear system
review
Algorithms
Brain
Electroencephalography
Epilepsy
Humans
Models, Neurological
Nonlinear Dynamics
description 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.
format JOUR
author Blanco, S.
Figliola, A.
Kochen, S.
Rosso, O.A.
author_facet Blanco, S.
Figliola, A.
Kochen, S.
Rosso, O.A.
author_sort Blanco, S.
title Using nonlinear dynamic metric tools for characterizing brain structures
title_short Using nonlinear dynamic metric tools for characterizing brain structures
title_full Using nonlinear dynamic metric tools for characterizing brain structures
title_fullStr Using nonlinear dynamic metric tools for characterizing brain structures
title_full_unstemmed Using nonlinear dynamic metric tools for characterizing brain structures
title_sort using nonlinear dynamic metric tools for characterizing brain structures
url http://hdl.handle.net/20.500.12110/paper_07395175_v16_n4_p83_Blanco
work_keys_str_mv AT blancos usingnonlineardynamicmetrictoolsforcharacterizingbrainstructures
AT figliolaa usingnonlineardynamicmetrictoolsforcharacterizingbrainstructures
AT kochens usingnonlineardynamicmetrictoolsforcharacterizingbrainstructures
AT rossooa usingnonlineardynamicmetrictoolsforcharacterizingbrainstructures
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