Items where Author is "Antonopoulos, Chris"

Article

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

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). 083121-083121. DOI https://doi.org/10.1063/5.0084606

Rodríguez-Méndez, Diego Alonzo and San-Juan, Daniel and Hallett, Mark and Antonopoulos, Chris and López- Reynoso, Erick and Lara-Ramírez, 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

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). p. 103122. DOI https://doi.org/10.1063/5.0055389

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

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

Conference or Workshop Item

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.

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.