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20002020
most citedA self-referred approach to lacunarity

26 citations · 95 across the 24 of their papers we have counts for

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6 papers · 1 filter

cond-mat.dis-nn2006★ 3 cited

Diversity of Cortical States at Non-Equilibrium Simulated by the Ferromagnetic Ising Model Under Metropolis Dynamics

Luciano da Fontoura Costa, Olaf Sporns

This article investigates the relationship between the interconnectivity and simulated dynamics of the thalamocortical system from the specific perspective of attempting to maximiz…

cond-mat.dis-nn2005★ 2 cited

On the Importance of Hubs in Hopfield Complex Neuronal Networks under Attack

E. P. Rodrigues, M. S. Barbosa, L. da F. Costa

The organizational principles behind the connectivity of a complex network are known to influence its behavior. In this work we investigate, using the Hopfield model, the influence…

cond-mat.dis-nn2005★ 1 cited

Percolation and roughness in ballistic deposition of complex shapes

Linder C. da Silva, Marconi S. Barbosa, Osvaldo N. Oliveira +1

This paper investigates how the measurement of geometrical features of structures obtained from ballistic deposition of objects with complex shapes, particularly neuronal cells, ca…

cond-mat.dis-nn2004★ 5 cited

Actively-induced percolation: An effective approach to multiple-object systems characterization

Luciano da Fontoura Costa

The present work proposes the concept of induced percolation over multiple-object systems, so that features such as the number of merged clusters can be used as a relevant measurem…

cond-mat.dis-nn2003

An Analytical Approach to Connectivity in Regular Neuronal Networks

Luciano da Fontoura Costa, Marconi Soares Barbosa

This paper describes how realistic neuromorphic networks can have their connectivity fully characterized in analytical fashion. By assuming that all neurons have the same shape and…

cond-mat.dis-nn2003★ 5 cited

An Analytical Approach to Neuronal Connectivity

Luciano da F. Costa

This paper describes how realistic neuromorphic networks can have their connectivity properties fully characterized in analytical fashion. By assuming that all neurons have the sam…