Lea Pillette
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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
EEG neurofeedback research: A fertile ground for psychiatry?
JM Batail, S Bioulac, F Cabestaing, C Daudet, D Drapier, M Fouillen, ...
L'Encéphale 45 (3), 245-255, 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
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
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
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
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
Toward distinguishing the different types of attention using EEG signals
L Pillette, A Cichocki, B N'Kaoua, F Lotte
JJC-ICON’2018, 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
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
Inria Research & Development for the Cybathlon BCI series
F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ...
International Graz Brain-Computer Interface conference, 2019
Do experimenters have an influence on MI-BCI user training?
A Roc, L Pillette, B N'Kaoua, F Lotte
JJC-ICON’2019, 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
Classification of attention types in EEG signals
L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte
Interntional BCI Meeting 2018, 2018
Toward understanding the influence of the experimenter on BCI performance
A Roc, L Pillette, F Lotte
JJC-ICON’2018, 2018
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
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
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
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