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Zulkarnain, Zulkarnain and Susanto, Hadi and Antonopoulos, Chris G (2024) Disordered FPUT-α Hamiltonian Lattices: recurrence breakdown and chaotic behavior. Chaos, Solitons and Fractals, 189 (1). p. 115570. DOI https://doi.org/10.1016/j.chaos.2024.115570
Yildirim, HĂĽseyin and Antonopoulos, Chris (2024) Network inference using mutual information rate, statistical tests and amplitude-phase modulated surrogate data. Chaos, Solitons and Fractals, 188. p. 115554. DOI https://doi.org/10.1016/j.chaos.2024.115554
Schickhofer, Lukas and Antonopoulos, Chris G (2024) Cause–effect relationship between model parameters and damping performance of hydraulic shock absorbers. International Journal of Non-Linear Mechanics, 159. p. 104627. DOI https://doi.org/10.1016/j.ijnonlinmec.2023.104627
Schickhofer, Lukas and Antonopoulos, Chris (2023) Nonlinear dynamics and onset of chaos in a physical model of a damper pressure relief valve. Communications in Nonlinear Science and Numerical Simulation, 125. p. 107378. DOI https://doi.org/10.1016/j.cnsns.2023.107378 (In Press)
Sharma, Sanjeev K and Mondal, Argha and Kaslik, Eva and Hens, Chittaranjan and Antonopoulos, Christos (2023) Diverse electrical responses in a network of fractional-order conductance-based excitable Morris-Lecar systems. Scientific Reports, 13 (1). 8215-. DOI https://doi.org/10.1038/s41598-023-34807-3
Antonopoulos, Chris (2023) Network inference combining mutual information rate and statistical tests. Communications in Nonlinear Science and Numerical Simulation, 116. p. 106896. DOI https://doi.org/10.1016/j.cnsns.2022.106896
Zulkarnain and Susanto, Hadi and Antonopoulos, Chris (2022) Energy-recurrence Breakdown and Chaos in Disordered Fermi-Pasta-Ulam- Tsingou Lattices. Chaos, Solitons and Fractals, 165 (1). p. 112850. DOI https://doi.org/10.1016/j.chaos.2022.112850
Manos, Thanos and Antonopoulos, Chris G and Batista, Antonio M and Iarosz, Kelly C (2022) Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity. Frontiers Media SA.
Mondal, Arnab and Mondal, Argha and Aziz-Alaoui, MA and Upadhyay, Ranjit Kumar and Sharma, Sanjeev Kumar and Antonopoulos, Chris (2022) The generation of diverse traveling pulses and its solution scheme in an excitable slow-fast dynamics. Chaos: an interdisciplinary journal of nonlinear science, 32 (8). 083121-. DOI https://doi.org/10.1063/5.0084606
RodrĂguez-MĂ©ndez, Diego Alonzo and San-Juan, Daniel and Hallett, Mark and Antonopoulos, Chris and LĂłpez- Reynoso, Erick and Lara-RamĂrez, Ricardo (2022) A new model for freedom of movement using connectomic analysis. PeerJ, 10. e13602-e13602. DOI https://doi.org/10.7717/peerj.13602
Cooper, Ian and Mondal, Argha and Antonopoulos, Chris and Mishra, Arindam (2022) Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model. Nonlinear Dynamics, 109 (1). pp. 19-32. DOI https://doi.org/10.1007/s11071-022-07347-0
Antonopoulos, Christos and Akrami, Mohammad Hossein and Basios, Vasilis and Latifi, Anouchah (2022) A generic model for pandemics in networks of communities and the role of vaccination. Chaos: an interdisciplinary journal of nonlinear science, 32 (6). 063127-. DOI https://doi.org/10.1063/5.0082002 (In Press)
Provata, Astero and Antonopoulos, Chris and Vlamos, Panayiotis (2022) Controlling the chimera form in the Leaky Integrate-and-Fire model. In: GeNeDis 2020 Computational Biology and Bioinformatics, 2020-10-08 - 2020-10-11, Online.
Mondal, Argha and Hens, Chittaranjan and Mondal, Arnab and Antonopoulos, Chris G (2021) Spatiotemporal instabilities and pattern formation in systems of diffusively coupled Izhikevich neurons. Chaos, Solitons and Fractals, 152. p. 111375. DOI https://doi.org/10.1016/j.chaos.2021.111375
Mondal, Arnab and Mondal, Argha and Kumar Sharma, Sanjeev and Kumar Upadhyay, Ranjit and Antonopoulos, Chris (2021) Spatiotemporal characteristics in systems of diffusively coupled excitable slow-fast FitzHugh-Rinzel dynamical neurons. Chaos: an interdisciplinary journal of nonlinear science, 31 (10). 103122-. DOI https://doi.org/10.1063/5.0055389
Lameu, Ewandson L and Borges, Fernando S and Iarosz, Kelly C and Protachevicz, Paulo R and Antonopoulos, Chris G and Macau, Elbert EN and Batista, Antonio M (2021) Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, 96. p. 105689. DOI https://doi.org/10.1016/j.cnsns.2020.105689
Antonopoulos, Chris G and Rubido, Nicolás and Batista, Antonio and Baptista, Murilo (2021) Editorial: Advancing our understanding of structure and function in the brain: Developing novel approaches for network inference and emergent phenomena. Frontiers Media.
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)
Protachevicz, Paulo Ricardo and Iarosz, Kelly Cristiane and Caldas, Ibere Luiz and Antonopoulos, Chris G and Batista, Antonio Marcos and Kurths, Jurgen (2020) Influence of autapses on synchronisation in neural networks with chemical synapses. Frontiers in Systems Neuroscience, 14. 604563-. DOI https://doi.org/10.3389/fnsys.2020.604563
Basios, Vasileios and Antonopoulos, Chris G and Latifi, Anouchah (2020) Labyrinth chaos: Revisiting the elegant, chaotic, and hyperchaotic walks. Chaos: an interdisciplinary journal of nonlinear science, 30 (11). 113129-. DOI https://doi.org/10.1063/5.0022253
Cooper, Ian and Mondal, Argha and Antonopoulos, Chris G (2020) Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic. Chaos, Solitons and Fractals, 139. p. 110298. DOI https://doi.org/10.1016/j.chaos.2020.110298 (In Press)
Cooper, Ian and Mondal, Argha and Antonopoulos, Chris G (2020) A SIR model assumption for the spread of COVID-19 in different communities. Chaos, Solitons and Fractals, 139. p. 110057. DOI https://doi.org/10.1016/j.chaos.2020.110057
Ghosh, Subrata and Mondal, Argha and Ji, Peng and Mishra, Arindam and Kumar Dana, Syamal and Antonopoulos, Chris and Hens, Chittaranjan (2020) Emergence of mixed mode oscillations in random networks of diverse excitable neurons: the role of neighbors and electrical coupling. Frontiers in Computational Neuroscience, 14. pp. 1-11. DOI https://doi.org/10.3389/fncom.2020.00049
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
Protachevicz, Paulo Ricardo and da Silva Borges, Fernando and Lameu, Ewandson Luiz and Ji, Peng and Iarosz, Kelly Cristiane and Kihara, Alexandre Hiroaki and Caldas, Ibere Luiz and Szezech, Jose Danilo and Baptista, Murilo S and Macau, Elbert EN and Antonopoulos, Chris and Batista, Antonio Marcos and Kurths, Jurgen (2019) Bistable firing pattern in a neural network model. Frontiers in Computational Neuroscience, 13 (19). 19-. DOI https://doi.org/10.3389/fncom.2019.00019
Basios, Vasileios and Antonopoulos, Chris G (2019) Hyperchaos & labyrinth chaos: revisiting Thomas-Rössler systems. Journal of Theoretical Biology, 460. pp. 153-159. DOI https://doi.org/10.1016/j.jtbi.2018.10.025
Antonopoulos, Chris G and Martinez-Bianco, Ezequiel and Baptista, Murilo (2019) Evaluating performance of neural codes in model neural communication networks. Neural Networks, 109. pp. 90-102. DOI https://doi.org/10.1016/j.neunet.2018.10.008
Antonopoulos, Chris G and Martinez, Ezequiel B and Baptista, Murilo S (2018) Evaluating performance of neural codes in neural communication networks. Working Paper. Arxiv. (Submitted)
Sigalas, Evangelos and Li, Junhua and Bezerianos, Anastasios and Antonopoulos, Chris (2018) Emergence of chimera-like states in prefrontal-cortex macaque intracranial recordings. In: 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018-06-12 - 2018-06-14, Singapore.
Antonopoulos, C and Shang, YS (2018) Opinion formation in multiplex networks with general initial distributions. Scientific Reports, 8. DOI https://doi.org/10.1038/s41598-018-21054-0
Antonopoulos, Chris G and Shang, Yilun (2018) Opinion formation in multiplex networks with general initial distributions. Scientific Reports, 8 (1). 2852-. DOI https://doi.org/10.1038/s41598-018-21054-0
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 DĂaz-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
Christodoulidi, H and van der Weele, K and Antonopoulos, Ch G and Bountis, T (2015) Phase Transitions in Models of Bird Flocking. In: Chaos, Information Processing and Paradoxical Games. WORLD SCIENTIFIC, pp. 383-398. ISBN 9789814602129. Official URL: http://dx.doi.org/10.1142/9789814602136_0019
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, Chris G and Michas, George and Vallianatos, Filippos and Bountis, Tassos (2014) Evidence of q-exponential statistics in Greek seismicity. Physica A: Statistical Mechanics and its Applications, 409. pp. 71-77. DOI https://doi.org/10.1016/j.physa.2014.04.042
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