Items where Author is "Antonopoulos, Chris G"

Article

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

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

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

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

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

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 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

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

Monograph

Antonopoulos, Chris G and Martinez, Ezequiel B and Baptista, Murilo S (2018) Evaluating performance of neural codes in model neural communication networks. Working Paper. Arxiv. (Unpublished)

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)

Other

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.

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.