Memorias de investigación
Artículos en revistas:
Functional brain networks: great expectations, hard times and the big leap forward
Año:2014
Áreas de investigación
  • Teoría de grafos
Datos
Descripción
Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. The recent application of complex network theory to the study of functional brain networks has generated great enthusiasm as it allows addressing hitherto non-standard issues in the field, such as efficiency of brain functioning or vulnerability to damage. However, in spite of its high degree of generality, the theory was originally designed to describe systems profoundly different from the brain. We discuss some important caveats in the wholesale application of existing tools and concepts to a field they were not originally designed to describe. At the same time, we argue that complex network theory has not yet been taken full advantage of, as many of its important aspects are yet to make their appearance in the neuroscience literature. Finally, we propose that, rather than simply borrowing from an existing theory, functional neural networks can inspire a fundamental reformulation of complex network theory, to account for its exquisitely complex functioning mode.
Internacional
Si
JCR del ISI
Si
Título de la revista
Phylosophical Transactions of the Royal Society of Biology
ISSN
0962-8436
Factor de impacto JCR
6,314
Información de impacto
Volumen
369
DOI
10.1098/rstb.2013.0525
Número de revista
1653
Desde la página
1
Hasta la página
15
Mes
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Participantes
  • Autor: David Papo . UPM
  • Autor: Massimiliano Zanin Zanin UPM
  • Autor: Jose Angel Pineda Pardo UPM
  • Autor: Stefano Boccaletti . UPM
  • Autor: Javier Martín Buldú UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería