| Peanut: Personalised emotional agent for neurotechnology user-training L Pillette, C Jeunet, B Mansencal, R N'Kambou, B N'Kaoua, F Lotte 7th International BCI Conference, 2017 | 12 | 2017 |
| EEG neurofeedback research: A fertile ground for psychiatry? JM Batail, S Bioulac, F Cabestaing, C Daudet, D Drapier, M Fouillen, ... L'encephale 45 (3), 245-255, 2019 | 9 | 2019 |
| Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces L Pillette, C Jeunet, R N'Kambou, B N'Kaoua, F Lotte WACAI 2018 - Workshop sur les “Affects, Compagnons Artificiels et Interactions”, 2019 | 9 | 2019 |
| Would Motor-Imagery based BCI user training benefit from more women experimenters? A Roc, L Pillette, B N'Kaoua, F Lotte 8th Graz Brain-Computer Interface Conference, 2019 | 7 | 2019 |
| Redefining and Adapting Feedback for Mental-Imagery based Brain-Computer Interface User Training to the Learners’ Traits and States L Pillette Université de Bordeaux, 2019 | 6 | 2019 |
| A BCI challenge for the signal processing community: considering the user in the loop F Lotte, C Jeunet, J Mladenović, B N'Kaoua, L Pillette Signal Processing and Machine Learning for Brain-Machine Interfaces, 1-33, 2018 | 6 | 2018 |
| A physical learning companion for Mental-Imagery BCI User Training L Pillette, C Jeunet, B Mansencal, R N’kambou, B N’Kaoua, F Lotte International Journal of Human-Computer Studies 136, 102380, 2020 | 3 | 2020 |
| Toward distinguishing the different types of attention using EEG signals L Pillette, A Cichocki, B N'Kaoua, F Lotte JJC-ICON’2018, 2018 | 2 | 2018 |
| When HCI Meets Neurotechnologies: What You Should Know about Brain-Computer Interfaces J Frey, J Mladenović, F Lotte, C Jeunet, L Pillette Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017 | 2 | 2017 |
| A review of user training methods in brain computer interfaces based on mental tasks A Roc, L Pillette, J Mladenovic, C Benaroch, B N'Kaoua, C Jeunet, F Lotte Journal of Neural Engineering, 2020 | 1 | 2020 |
| Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications K Sadatnejad, A Roc, L Pillette, T Monseigne, F Lotte ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| Inria research & development for the Cybathlon BCI series F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ... 8th Graz Brain-Computer Interface Conference 2019, 2019 | 1 | 2019 |
| Do experimenters have an influence on MI-BCI user training? A Roc, L Pillette, B N'Kaoua, F Lotte JJC-ICON’2019, 2019 | 1 | 2019 |
| Impact of MI-BCI feedback for post-stroke and neurotypical people L Pillette, B Glize, B N'Kaoua, PA Joseph, C Jeunet, F Lotte JJC-ICON’2019, 2019 | 1 | 2019 |
| Classification of attention types in EEG signals L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte Interntional BCI Meeting 2018, 2018 | 1 | 2018 |
| Toward understanding the influence of the experimenter on BCI performance A Roc, L Pillette, F Lotte JJC-ICON’2018, 2018 | 1 | 2018 |
| Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies L Pillette, F Lotte, B N’Kaoua, PA Joseph, C Jeunet, B Glize NeuroImage: Clinical 28, 102417, 2020 | | 2020 |
| BCPy, an open-source python platform for offline EEG signals decoding and analysis A Appriou, L Pillette, A Cichocki, F Lotte Interntional BCI Meeting 2018, 2018 | | 2018 |
Fabien LotteInria Bordeaux Sud-Ouest / LaBRI (Univ. Bordeaux - CNRS - Bordeaux INP)Verified email at inria.fr
