Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem. - Laurent Bougrain; Frédéric Alexandre (IJCNN, 1999)

Unsupervised connectionist algorithms for clustering an environmental data set: A comparison. - Laurent Bougrain; Frédéric Alexandre (Neurocomputing, 1999)

Etude de la construction par réseaux neuromimétiques de représentations interprétables : Application à la prédiction dans le domaine des télécommunications. (Artificial neural networks arrangements leading to knowledge extraction / Artificial neural networks arrangements leading to knowledge extraction : Application to forecasting for telecommunication). - Laurent Bougrain (2000)

Optimal Brain Surgeon Variants for Optimization. - Mohammed Attik; Laurent Bougrain; Frédéric Alexandre (ECAI, 2004)

Optimal brain surgeon variants for feature selection. - Mohammed Attik; Laurent Bougrain; Frédéric Alexandre (IJCNN, 2004)

Neural Network Topology Optimization. - Mohammed Attik; Laurent Bougrain; Frédéric Alexandre (ICANN (2), 2005)

Self-organizing Map Initialization. - Mohammed Attik; Laurent Bougrain; Frédéric Alexandre (ICANN (1), 2005)

Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages - Nizar Kerkeni; Frédéric Alexandre; Mohamed Bedoui Hedi; Laurent Bougrain; Mohamed Dogui (CoRR, 2005)

Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. - Zouhour Neji Ben Salem; Laurent Bougrain; Frédéric Alexandre (ANNPR, 2006)

Supervised neuronal approaches for EEG signal classification: Experimental studies. - Frédéric Alexandre; Nizar Kerkeni; Khaled Ben Khalifa; Mohamed Bedoui Hedi; Laurent Bougrain; Mohamed Dogui (Artificial Intelligence and Soft Computing, 2006)

Toward a robust 2D spatio-temporal self-organization. - Thomas Girod; Laurent Bougrain; Frédéric Alexandre (ESANN, 2007)

Spatio-temporal biologically inspired models for clean and noisy speech recognition. - Zouhour Neji Ben Salem; Laurent Bougrain; Frédéric Alexandre (Neurocomputing, 2007)

Decoding finger flexion using amplitude modulation from band-specific ECoG. - Nanying Liang; Laurent Bougrain (ESANN, 2009)

Combining Supervised and Unsupervised Learning for GIS Classification - Juan-Manuel Torres-Moreno; Laurent Bougrain; Frédéric Alexandre (CoRR, 2009)

Using neuronal states for transcribing cortical activity into muscular effort. - Octave Boussaton; Laurent Bougrain (EMBC, 2012)

From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain - Laurent Bougrain; Olivier Rochel; Octave Boussaton; Lionel Havet (CoRR, 2012)

Wavelet-based Semblance for P300 Single-trial Detection. - Carolina Saavedra; Laurent Bougrain (BIOSIGNALS, 2013)

Comparison of sensorimotor rhythms in EEG signals during simple and combined motor imageries over the contra and ipsilateral hemispheres. - Cecilia Lindig-León; Laurent Bougrain (EMBC, 2015)

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

A Multi-label Classification Method for Detection of Combined Motor Imageries. - Cecilia Lindig-León; Laurent Bougrain (SMC, 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)

Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System. - Carolina Saavedra; Rodrigo Salas 001; Laurent Bougrain (Comput. Intell. Neurosci., 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)

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)

EEG Modulations Induced by a Visual and Vibrotactile Stimulation. - Gabriela Herrera Altamira; Stéphanie Fleck; Anatole Lécuyer; Laurent Bougrain (SMC, 2023)

Multisensory neurofeedback design for KMI embodiment. - Gabriela Herrera Altamira; Nathalie Skiba; Anatole Lécuyer; Laurent Bougrain; Stéphanie Fleck (IMX Workshops, 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)