Reconstructing networks of pulse-coupled oscillators from spike trains R Cestnik, M Rosenblum Physical Review E 96 (1), 012209, 2017 | 46 | 2017 |
Inferring the dynamics of oscillatory systems using recurrent neural networks R Cestnik, M Abel Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (6), 2019 | 30 | 2019 |
Inferring the phase response curve from observation of a continuously perturbed oscillator R Cestnik, M Rosenblum Scientific reports 8 (1), 13606, 2018 | 28 | 2018 |
Exact finite-dimensional description for networks of globally coupled spiking neurons B Pietras, R Cestnik, A Pikovsky Physical Review E 107 (2), 024315, 2023 | 14 | 2023 |
Hierarchy of exact low-dimensional reductions for populations of coupled oscillators R Cestnik, A Pikovsky Physical Review Letters 128 (5), 054101, 2022 | 13 | 2022 |
Exact finite-dimensional reduction for a population of noisy oscillators and its link to Ott–Antonsen and Watanabe–Strogatz theories R Cestnik, A Pikovsky Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (11), 2022 | 9 | 2022 |
Impact of local network characteristics on network reconstruction G Cecchini, R Cestnik, A Pikovsky Physical Review E 103 (2), 022305, 2021 | 8 | 2021 |
Inferring oscillator’s phase and amplitude response from a scalar signal exploiting test stimulation R Cestnik, ETK Mau, M Rosenblum New Journal of Physics 24 (12), 123012, 2022 | 5 | 2022 |
Integrability of a globally coupled complex Riccati array: Quadratic integrate-and-fire neurons, phase oscillators, and all in between R Cestnik, EA Martens Physical Review Letters 132 (5), 057201, 2024 | 3 | 2024 |
Inferring oscillatory dynamics from data R Cestnik | 2 | 2020 |
Continuum limit of the adaptive Kuramoto model R Cestnik, EA Martens arXiv preprint arXiv:2407.03433, 2024 | | 2024 |
Erratum: Inferring the dynamics of oscillatory systems using recurrent neural networks (Chaos: an interdisciplinary journal of nonlinear science.-29 (2019) 063128) R Cestnik, M Abel American Institute of Physics, 2019 | | 2019 |