| Network of interacting neurons with random synaptic weights P Grazieschi, M Leocata, C Mascart, J Chevallier, F Delarue, E Tanré ESAIM: Proceedings and Surveys 65, 445-475, 2019 | 14 | 2019 |
| Scalability of large neural network simulations via activity tracking with time asynchrony and procedural connectivity C Mascart, G Scarella, P Reynaud-Bouret, A Muzy Biorxiv, 2021.06. 12.448096, 2022 | 7* | 2022 |
| Efficient Simulation of Sparse Graphs of Point Processes C Mascart, A Muzy, P Reynaud-Bouret arXiv preprint arXiv:2001.01702, 2020 | 5 | 2020 |
| Scalability of large neural network simulations via activity tracking with time asynchrony and procedural connectivity C Mascart, G Scarella, P Reynaud-Bouret, A Muzy Neural Computation 34 (9), 1915-1943, 2022 | 4 | 2022 |
| Efficient simulation of point processes with applications to neurosciences C Mascart Université Côte d'Azur, Nice, France, 2021 | 1 | 2021 |
| Reconstruction de la connectivité fonctionnelle en Neurosciences: une amélioration des algorithmes actuels G Scarella, C Mascart, A Muzy, TC Phi, P Reynaud-Bouret 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), 2021 | 1 | 2021 |
| Discrete event simulation of point processes: A computational complexity analysis on sparse graphs C Mascart, A Muzy, P Reynaud-bouret arXiv preprint arXiv:2001.01702, 2020 | 1 | 2020 |
| Simulation efficace de processus ponctuels avec applications aux neurosciences C Mascart Université Côte d'Azur, 2021 | | 2021 |
| Graph-based randOm Discrete-Event Simulator GODDESS Quick Start Guide C Mascart, A Muzy, G Scarella, MMSN Team | | 2018 |
| L'intelligence artificielle s' inspire de l'humain... et vice versa L Khacef, S Zerimech, A Russo, PA Prado, C Mascart Nice matin, 35, 2018 | | 2018 |
| Sparse graph algorithm for point processes C Mascart | | |