Structural and functional clusters of complex brain networks

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How researchers see this paper

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Identifying influential nodes in complex networks (2012, background): “How to find these influential nodes is of theoretical significance.”
Graph theoretical analysis of complex networks in the brain (2007, background): “Zhou et al. and Zemanova et al. investigated the correlations between network topology and functional organization of complex brain networks [ 67 ,68].”
Emerging concepts for the dynamical organization of resting-state activity in the brain (2010, unknown): “As in the case of Honey et al. 36 , the global, structured fluctuation characteristics of the resting state result from the use of a complex model (a small-world recurrent model in the case of Zhou et al. 56 , and a chaotic model in the case of Honey et al. 36 ) at the node level, because in the abs”
The application of graph theoretical analysis to complex networks in the brain. (2007, unknown): “The optimal balance between excitation and inhibition proved to be crucial (Shin and Kim, 2006; van Vreeswijk and Sompolinsky, 1996; de Arcangelis et al., 2006; Paula et al., 2006; Zemanova et al., 2006; Zhou et al., 2006b).”
Synchronization in complex networks (2008, methodology): “In a series of papers (Zemanová et al., 2006; Zhou, Zemanová, Zamora, Hilgetag and Kurths, 2006; Zhou et al., 2007) the dynamics of a realistic cortico-cortical projection network of the cat has been modeled at the level of functional areas (Scannell et al., 1999).”