| Real-time parallel processing of grammatical structure in the fronto-striatal system: a recurrent network simulation study using reservoir computing X Hinaut, PF Dominey PLoS ONE 8 (2), e52946, 2013 | 211 | 2013 |
| Sustainable computational science: the ReScience initiative NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... PeerJ Computer Science 3, e142, 2017 | 116 | 2017 |
| Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks X Hinaut, M Petit, G Pointeau, PF Dominey Frontiers in Neurorobotics 8 (16), 2014 | 81 | 2014 |
| ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks N Trouvain, L Pedrelli, TT Dinh, X Hinaut International Conference on Artificial Neural Networks, 494-505, 2020 | 52 | 2020 |
| Corticostriatal response selection in sentence production: Insights from neural network simulation with reservoir computing X Hinaut, F Lance, C Droin, M Petit, G Pointeau, PF Dominey Brain and language 150, 54-68, 2015 | 36 | 2015 |
| On-Line Processing of Grammatical Structure Using Reservoir Computing X Hinaut, P Dominey ICANN 2012 - Lecture Notes in Computer Science 7552, 596-603, 2012 | 31 | 2012 |
| A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French X Hinaut, J Twiefel, M Petit, PF Dominey, S Wermter NIPS workshop on Cognitive Computation: Integrating Neural and Symbolic …, 2015 | 28 | 2015 |
| Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture J Twiefel, X Hinaut, M Borghetti, E Strahl, S Wermter 2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016 | 25 | 2016 |
| Vocal imitation in sensorimotor learning models: a comparative review S Pagliarini, A Leblois, X Hinaut IEEE Transactions on Cognitive and Developmental Systems 13 (2), 326-342, 2020 | 22 | 2020 |
| Teach your robot your language! trainable neural parser for modeling human sentence processing: Examples for 15 languages X Hinaut, J Twiefel IEEE Transactions on Cognitive and Developmental Systems 12 (2), 179-188, 2019 | 18 | 2019 |
| A journey in ESN and LSTM visualisations on a language task A Variengien, X Hinaut arXiv preprint arXiv:2012.01748, 2020 | 14 | 2020 |
| An incremental approach to language acquisition: Thematic role assignment with echo state networks X Hinaut, S Wermter Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 14 | 2014 |
| Long-term plausibility of language models and neural dynamics during narrative listening SR Oota, F Alexandre, X Hinaut Proceedings of the annual meeting of the cognitive science society 44 (44), 2022 | 13 | 2022 |
| Cross-situational learning with reservoir computing for language acquisition modelling A Juven, X Hinaut 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 13 | 2020 |
| Which input abstraction is better for a robot syntax acquisition model? phonemes, words or grammatical constructions? X Hinaut 2018 Joint IEEE 8th International Conference on Development and Learning and …, 2018 | 13 | 2018 |
| A three-layered model of primate prefrontal cortex encodes identity and abstract categorical structure of behavioral sequences X Hinaut, PF Dominey Journal of Physiology-Paris 105 (1-3), 16-24, 2011 | 12 | 2011 |
| Hierarchical-task reservoir for online semantic analysis from continuous speech L Pedrelli, X Hinaut IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2654-2663, 2021 | 11 | 2021 |
| A robust model of gated working memory A Strock, X Hinaut, NP Rougier Neural Computation 32 (1), 153-181, 2020 | 11 | 2020 |
| Semantic role labelling for robot instructions using echo state networks J Twiefel, X Hinaut, S Wermter European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016 | 9 | 2016 |
| Activity recognition with echo state networks using 3D body joints and objects category L Mici, X Hinaut, S Wermter European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016 | 9 | 2016 |
Peter Ford DomineyCNRS Research Director, INSERM U1093在 inserm.fr 的电子邮件经过验证
