activity
20102015
most citedDo Brain Networks Evolve by Maximizing their Information Flow Capacity?

43 citations · 44 across the 3 of their papers we have counts for

collaborators

5 papers

nlin.CD2015★ 1 cited

Chaotic, informational and synchronous behaviour of multiplex networks

M. S. Baptista, R. M. Szmoski, R. F. Pereira +1

The understanding of the relationship between topology and behaviour in interconnected networks would allow to characterise and predict behaviour in many real complex networks sinc…

q-bio.NC2015★ 43 cited

Do Brain Networks Evolve by Maximizing their Information Flow Capacity?

Chris G. Antonopoulos, Shambhavi Srivastava, Sandro E. de S. Pinto +1

We propose a working hypothesis supported by numerical simulations that brain networks evolve based on the principle of the maximization of their internal information flow capacity…

q-bio.MN2013

The oral tolerance as a complex network phenomenon

Pedro J. Miranda, Murilo Delgobo, Giovanni M. Favero +3

The phenomenon of oral tolerance refers to a local and systemic state of tolerance, induced in the gut associated lymphoid tissues, after its exposure to innocuous antigens, such a…

physics.soc-ph2013

Analysis of communities in a mythological social network

Pedro J. Miranda, Murilo S. Baptista, Sandro E. de S. Pinto

The intriguing nature of classical Homeric narratives has always fascinated the occidental culture contributing to philosophy, history, mythology and straight forwardly to literatu…

nlin.CD2010

Effective dynamics for chaos synchronization in networks with time-varying topology

Rodrigo Frehse Pereira, Romeu Miqueias Szmoski, Sandro Ely de Souza Pinto

A coupled map lattice whose topology changes at each time step is studied. We show that the transversal dynamics of the synchronization manifold can be analyzed by the introduction…