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10.1038/srep22617 http://scihub22266oqcxt.onion/10.1038/srep22617 C4778120!4778120!26939580     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2016 ; 6 (ä): ä Nephropedia Template TP {{tp|p=26939580|t=2016. Chaotic, informational and synchronous behaviour of multiplex networks |pdf=|usr=}}{{26939580}} gab.com Text Chaotic, informational and synchronous behaviour of multiplex networks JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26939580 #FOAvip The understanding of the relationship between topology and behaviour in interconnected networks would allow to charac- terise and predict behaviour in many real complex networks since both are usually not simultaneously known. Most previous studies have focused on the relationship between topology and synchronisation. In this work, we provide analytical formulas that shows how topology drives complex behaviour: chaos, information, and weak or strong synchronisation; in multiplex net- works with constant Jacobian. We also study this relationship numerically in multiplex networks of Hindmarsh-Rose neurons. Whereas behaviour in the analytically tractable network is a direct but not trivial consequence of the spectra of eigenvalues of the Laplacian matrix, where behaviour may strongly depend on the break of symmetry in the topology of interconnections, in Hindmarsh-Rose neural networks the nonlinear nature of the chemical synapses breaks the elegant mathematical connec- tion between the spectra of eigenvalues of the Laplacian matrix and the behaviour of the network, creating networks whose behaviour strongly depends on the nature (chemical or electrical) of the inter synapses. Twit Text FOAVip Chaotic, informational and synchronous behaviour of multiplex networks ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26939580 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26939580 #FOAvip English Wikipedia <ref>{{Cite pmid|26939580}}</ref> Chaotic, informational and synchronous behaviour of multiplex networks #MMPMID26939580 Baptista MS; Szmoski RM; Pereira RF; Pinto SEde S Sci Rep 2016[]; 6 (ä): ä PMID26939580show ga The understanding of the relationship between topology and behaviour in interconnected networks would allow to charac- terise and predict behaviour in many real complex networks since both are usually not simultaneously known. Most previous studies have focused on the relationship between topology and synchronisation. In this work, we provide analytical formulas that shows how topology drives complex behaviour: chaos, information, and weak or strong synchronisation; in multiplex net- works with constant Jacobian. We also study this relationship numerically in multiplex networks of Hindmarsh-Rose neurons. Whereas behaviour in the analytically tractable network is a direct but not trivial consequence of the spectra of eigenvalues of the Laplacian matrix, where behaviour may strongly depend on the break of symmetry in the topology of interconnections, in Hindmarsh-Rose neural networks the nonlinear nature of the chemical synapses breaks the elegant mathematical connec- tion between the spectra of eigenvalues of the Laplacian matrix and the behaviour of the network, creating networks whose behaviour strongly depends on the nature (chemical or electrical) of the inter synapses. äChaotic, informational and synchronous behaviour of multiplex networks(epmc).pdf DeepDyve Pubget Overpricing