Alpha rebound improves on-line detection of the end of motor imageries. - Cecilia Lindig-León; Laurent Bougrain; Sébastien Rimbert (NER, 2015)

Discretes motor Imageries can be used to Allow Faster Detection. - Sébastien Rimbert; Oleksii Avilov; Laurent Bougrain (GBCIC, 2017)

Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection. - Sébastien Rimbert; Cecilia Lindig-León; Laurent Bougrain (NER, 2017)

Modulation of beta power in EEG during discrete and continuous motor imageries. - Sébastien Rimbert; Cecilia Lindig-León; Mariia Fedotenkova; Laurent Bougrain (NER, 2017)

Can suggestive hypnosis be used to improve the BCI performance ? - Sébastien Rimbert; Oleksii Avilov; Perrine Adam; Laurent Bougrain (GBCIC, 2019)

On Source Space Resolution in EEG Brain Imaging for Motor Imagery. - Radu Ranta; Steven Le Cam; Gundars Bergmanis-Korats; Sébastien Rimbert; Laurent Bougrain (NER, 2019)

Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia. - Sébastien Rimbert; Philippe Guerci; Nathalie Gayraud; Claude Meistelman; Laurent Bougrain (SMC, 2019)

Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. - Oleksii Avilov; Sébastien Rimbert; Anton Popov; Laurent Bougrain (EMBC, 2020)

Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches. - Sébastien Rimbert; Laurent Bougrain; Stéphanie Fleck (SMC, 2020)

Apport de la stimulation du nerf médian dans la conception d'une BCI basée sur l'activité cérébrale motrice : vers l'amélioration de la détection des réveils peropératoires au cours de l'anesthésie générale. (Contribution of median nerve stimulation in the design of a BCI based on cerebral motor activity : towards improvement in the detection of intraoperative awareness during general anaesthesia). - Sébastien Rimbert (2020)

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study. - Laurent Bougrain; Sébastien Rimbert; Pedro L. C. Rodrigues; Geoffrey Canron; Fabien Lotte (NER, 2021)

Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness. - Oleksii Avilov; Sébastien Rimbert; Anton Popov; Laurent Bougrain (IEEE Trans. Biomed. Eng., 2021)

ERD modulations during motor imageries relate to users' traits and BCI performances. - Sébastien Rimbert; Fabien Lotte (EMBC, 2022)

Is Event-Related Desynchronization variability correlated with BCI performance? - Sébastien Rimbert; David Trocellier; Fabien Lotte (MetroXRAINE, 2022)

Impact of the baseline temporal selection on the ERD/ERS analysis for Motor Imagery-based BCI. - Sébastien Rimbert; David Trocellier; Fabien Lotte (EMBC, 2023)

Long-term kinesthetic motor imagery practice with a BCI: Impacts on user experience, motor cortex oscillations and BCI performances. - Sébastien Rimbert; Stéphanie Fleck (Comput. Hum. Behav., 2023)

Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation. - Sébastien Rimbert; Valérie Marissens Cueva; Laurent Bougrain; Fabien Lotte (BCI, 2024)

From Post-Median Nerve Stimulation ERD to MI-BCI Expertise Prediction. - Valérie Marissens Cueva; Fabien Lotte; Laurent Bougrain; Sébastien Rimbert (BCI, 2025)