| Enhancing power grid synchronization and stability through time-delayed feedback control H Taher, S Olmi, E Schöll Physical Review E 100 (6), 062306, 2019 | 81 | 2019 |
| Exact neural mass model for synaptic-based working memory H Taher, A Torcini, S Olmi PLOS Computational Biology 16 (12), e1008533, 2020 | 56 | 2020 |
| Patient-specific network connectivity combined with a next generation neural mass model to test clinical hypothesis of seizure propagation M Gerster, H Taher, A Škoch, J Hlinka, M Guye, F Bartolomei, V Jirsa, ... Frontiers in Systems Neuroscience 15, 675272, 2021 | 43 | 2021 |
| Bursting in a next generation neural mass model with synaptic dynamics: a slow–fast approach H Taher, D Avitabile, M Desroches Nonlinear Dynamics 108 (4), 4261-4285, 2022 | 30 | 2022 |
| Next generation neural mass models: working memory, all-brain modelling and multi-timescale phenomena H Taher Université Côte d'Azur, 2021 | 3 | 2021 |
| Enhancing power grid synchronization through time delayed feedback control of solitary states S Olmi, E Schöll, H Taher 2020 European Control Conference (ECC), 1981-1986, 2020 | 3 | 2020 |
| Homeodynamic feedback inhibition control in whole-brain simulations J Stasinski, H Taher, JM Meier, M Schirner, D Perdikis, P Ritter PLOS Computational Biology 20 (12), e1012595, 2024 | | 2024 |
| Modèles de masse neuronale de nouvelle génération: mémoire de travail, modélisation du cerveau entier et phénomènes multi-échelles de temps H Taher Université Côte d'Azur, 2021 | | 2021 |
