Items where Author is "Antonopoulos, CG"

Protachevicz, PR and Santos, MS and Seifert, EG and Gabrick, EC and Borges, FS and Borges, RR and Trobia, J and Szezech Jr, JD and Iarosz, KC and Caldas, IL and Antonopoulos, CG and Xu, Y and Viana, RL and Batista, AM (2020) Noise induces continuous and noncontinuous transitions in neuronal interspike intervals range. Pramana: journal of physics. (In Press)

Borges, FS and Protachevicz, PR and Pena, RFO and Lameu, EL and Higa, GSV and Kihara, AH and Matias, FS and Antonopoulos, CG and de Pasqual, R and Roque, AC and Iarosz, KC and Ji, P and Batista, AM (2020) Self-sustained activity of low firing rate in balanced networks. Physica A: Statistical Mechanics and its Applications, 537. p. 122671. DOI https://doi.org/10.1016/j.physa.2019.122671

Goh, YK and Hasim, HM and Antonopoulos, CG (2018) Inference of financial networks using the normalised mutual information rate. PLoS ONE, 13 (2). e0192160-e0192160. DOI https://doi.org/10.1371/journal.pone.0192160

Antonopoulos, CG and Skokos, C and Bountis, T and Flach, S (2017) Analyzing chaos in higher order disordered quartic-sextic Klein-Gordon lattices using q-statistics. Chaos, Solitons and Fractals, 104. pp. 129-134. DOI https://doi.org/10.1016/j.chaos.2017.08.005

Antonopoulos, CG and Baptista, M (2017) Maintaining extensivity in evolutionary multiplex networks. PloS One, 12 (4). e0175389-e0175389. DOI https://doi.org/10.1371/journal.pone.0175389

Borges, RR and Borges, FS and Lameu, EL and Batista, AM and Iarosz, KC and Caldas, IL and Antonopoulos, CG and Baptista, MS (2017) Spike timing-dependent plasticity induces non-trivial topology in the brain. Neural Networks, 88. pp. 58-64. DOI https://doi.org/10.1016/j.neunet.2017.01.010

Antonopoulos, CG and Fokas, A and Bountis, T (2016) Dynamical complexity in the C.elegans neural network. European Physical Journal Special Topics, 225 (6-7). pp. 1255-1269. DOI https://doi.org/10.1140/epjst/e2016-02670-3

Bianco-Martinez, E and Rubido, N and Antonopoulos, CG and Baptista, MS (2016) Successful network inference from time-series data using Mutual Information Rate. Chaos: an interdisciplinary journal of nonlinear science, 26 (4). 043102-. DOI https://doi.org/10.1063/1.4945420

Antonopoulos, CG (2016) Dynamic range in the C.elegans brain network. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26 (1). 013102-013102. DOI https://doi.org/10.1063/1.4939837

Hizanidis, J and Kouvaris, NE and Gorka, Z and Díaz-Guilera, A and Antonopoulos, CG (2016) Chimera-like states in modular neural networks. Scientific Reports, 6 (19845). 19845-. DOI https://doi.org/10.1038/srep19845

Antonopoulos, CG and Srivastava, S and Pinto, SEDS and Baptista, MS (2015) Do brain networks evolve by maximizing their information flow capacity? PLOS Computational Biology, 11 (8). e1004372-e1004372. DOI https://doi.org/10.1371/journal.pcbi.1004372

Antonopoulos, CG and Bountis, T and Drossos, L (2015) Coupled symplectic maps as models for subdiffusive processes in disordered Hamiltonian lattices. Applied Numerical Mathematics, 104. pp. 110-119. DOI https://doi.org/10.1016/j.apnum.2015.07.003

Hizanidis, J and Kouvaris, NE and Antonopoulos, CG (2015) Metastable and chimera-like states in the C.elegans brain network. Cybernetics and Physics, 4 (1). pp. 17-20.

Antonopoulos, CG and Bountis, T and Skokos, C and Drossos, L (2014) Complex statistics and diffusion in nonlinear disordered particle chains. Chaos: an interdisciplinary journal of nonlinear science, 24 (2). 024405-024405. DOI https://doi.org/10.1063/1.4871477

Antonopoulos, CG and Bianco-Martinez, E and Baptista, MS (2014) Production and transfer of energy and information in Hamiltonian systems. PloS One, 9 (2). e89585-e89585. DOI https://doi.org/10.1371/journal.pone.0089585