832 citations · 2.1k across the 51 of their papers we have counts for
6 papers · 1 filter
Dynamic Range in the C.elegans Brain Network
Chris G. Antonopoulos
We study external, electrical perturbations and their responses in the brain dynamic network of the \textit{Caenorhabditis elegans} soil worm, given by the connectome of its large…
Maintaining extensivity in evolutionary multiplex networks
Chris G. Antonopoulos, Murilo S. Baptista
In this paper, we explore the role of network topology on maintaining the extensive property of entropy. We study analytically and numerically how the topology contributes to maint…
Chimera-like states in modular neural networks
Johanne Hizanidis, Nikos E. Kouvaris, Gorka Zamora-López +2
Chimera states, namely the coexistence of coherent and incoherent behavior, were previously analyzed in complex networks. However, they have not been extensively studied in modular…
Dynamical Complexity in the C.elegans Neural Network
Chris G. Antonopoulos, Athanasios S. Fokas, Tassos C. Bountis
We model the neuronal circuit of the C.elegans soil worm in terms of Hindmarsh-Rose systems of ordinary differential equations, dividing its circuit into six communities pointed ou…
Coupled symplectic maps as models for subdiffusive processes in disordered Hamiltonian lattices
Chris G. Antonopoulos, Tassos Bountis, Lambros Drossos
We investigate dynamically and statistically diffusive motion in a chain of linearly coupled 2-dimensional symplectic McMillan maps and find evidence of subdiffusion in weakly and…
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…