Disentangling the dynamic core: a research program for a neurodynamics at the large-scale

My purpose in this paper is to sketch a research direction based on Francisco Varela's pioneering work in neurodynamics (see also Rudrauf et al. 2003, in this issue). Very early on he argued that the internal coherence of every mental-cognitive state lies in the global self-organization of the...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	LE VAN QUYEN,MICHEL
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2003
Materias:	nonlinear dynamics phase synchronization chaos EEG non-gaussian statistics
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602003000100006
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0716-97602003000100006
record_format	dspace
spelling	oai:scielo:S0716-976020030001000062003-08-18Disentangling the dynamic core: a research program for a neurodynamics at the large-scaleLE VAN QUYEN,MICHEL nonlinear dynamics phase synchronization chaos EEG non-gaussian statistics My purpose in this paper is to sketch a research direction based on Francisco Varela's pioneering work in neurodynamics (see also Rudrauf et al. 2003, in this issue). Very early on he argued that the internal coherence of every mental-cognitive state lies in the global self-organization of the brain activities at the large-scale, constituting a fundamental pole of integration called here a "dynamic core". Recent neuroimaging evidence appears to broadly support this hypothesis and suggests that a global brain dynamics emerges at the large scale level from the cooperative interactions among widely distributed neuronal populations. Despite a growing body of evidence supporting this view, our understanding of these large-scale brain processes remains hampered by the lack of a theoretical language for expressing these complex behaviors in dynamical terms. In this paper, I propose a rough cartography of a comprehensive approach that offers a conceptual and mathematical framework to analyze spatio-temporal large-scale brain phenomena. I emphasize how these nonlinear methods can be applied, what property might be inferred from neuronal signals, and where one might productively proceed for the future. This paper is dedicated, with respect and affection, to the memory of Francisco Varela.info:eu-repo/semantics/openAccessSociedad de Biología de ChileBiological Research v.36 n.1 20032003-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602003000100006en10.4067/S0716-97602003000100006
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	nonlinear dynamics phase synchronization chaos EEG non-gaussian statistics
spellingShingle	nonlinear dynamics phase synchronization chaos EEG non-gaussian statistics LE VAN QUYEN,MICHEL Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
description	My purpose in this paper is to sketch a research direction based on Francisco Varela's pioneering work in neurodynamics (see also Rudrauf et al. 2003, in this issue). Very early on he argued that the internal coherence of every mental-cognitive state lies in the global self-organization of the brain activities at the large-scale, constituting a fundamental pole of integration called here a "dynamic core". Recent neuroimaging evidence appears to broadly support this hypothesis and suggests that a global brain dynamics emerges at the large scale level from the cooperative interactions among widely distributed neuronal populations. Despite a growing body of evidence supporting this view, our understanding of these large-scale brain processes remains hampered by the lack of a theoretical language for expressing these complex behaviors in dynamical terms. In this paper, I propose a rough cartography of a comprehensive approach that offers a conceptual and mathematical framework to analyze spatio-temporal large-scale brain phenomena. I emphasize how these nonlinear methods can be applied, what property might be inferred from neuronal signals, and where one might productively proceed for the future. This paper is dedicated, with respect and affection, to the memory of Francisco Varela.
author	LE VAN QUYEN,MICHEL
author_facet	LE VAN QUYEN,MICHEL
author_sort	LE VAN QUYEN,MICHEL
title	Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
title_short	Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
title_full	Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
title_fullStr	Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
title_full_unstemmed	Disentangling the dynamic core: a research program for a neurodynamics at the large-scale
title_sort	disentangling the dynamic core: a research program for a neurodynamics at the large-scale
publisher	Sociedad de Biología de Chile
publishDate	2003
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602003000100006
work_keys_str_mv	AT levanquyenmichel disentanglingthedynamiccorearesearchprogramforaneurodynamicsatthelargescale
_version_	1718441349171118080

Disentangling the dynamic core: a research program for a neurodynamics at the large-scale

Ejemplares similares