HERMES: A user-friendly connectivity analysis software


Autoria(s): Niso Galán, Julia Guiomar; Bruña Fernandez, Ricardo; Pereda, Ernesto; Gutierrez, Ricardo; Bajo Breton, Ricardo; Maestú, Fernando; Pozo Guerrero, Francisco del
Data(s)

2012

Resumo

The analysis of the interdependence between time series has become an important field of research, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, and the introduction of concepts such as Generalized (GS) and Phase synchronization (PS). This increase in the number of approaches to tackle the existence of the so-called functional (FC) and effective connectivity (EC) (Friston 1994) between two, (or among many) neural networks, along with their mathematical complexity, makes it desirable to arrange them into a unified toolbox, thereby allowing neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of them.

Formato

application/pdf

Identificador

http://oa.upm.es/20593/

Idioma(s)

eng

Relação

http://oa.upm.es/20593/1/INVE_MEM_2012_143581.pdf

http://www.uam.es/otros/SEPNECA/

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/restrictedAccess

Fonte

Congresos de la SEPF/SEPNECA | 8º Congreso de la Sociedad Española de Psicofisiología y Neurociencia Cognitiva y Afectiva (SEPNECA) | 03/07/2012 - 06/07/2012 | Barcelona (España)

Palavras-Chave #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed