Laurent Bougrain

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 14

Top Venues

Henri Poincaré University, Nancy, France (PHD)

Education History

Henri Poincaré University, Nancy, France

PHD

Publications

Sébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte
Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation. BCI (2024)
Gabriela Herrera Altamira, Stéphanie Fleck, Anatole Lécuyer, Laurent Bougrain
EEG Modulations Induced by a Visual and Vibrotactile Stimulation. SMC (2023)
Gabriela Herrera Altamira, Nathalie Skiba, Anatole Lécuyer, Laurent Bougrain, Stéphanie Fleck
Multisensory neurofeedback design for KMI embodiment. IMX Workshops (2023)
Laurent Bougrain, Sébastien Rimbert, Pedro L. C. Rodrigues, Geoffrey Canron, Fabien Lotte
Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study. NER (2021)
Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain
Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness. IEEE Trans. Biomed. Eng. 68 (10) (2021)
Sébastien Rimbert, Laurent Bougrain, Stéphanie Fleck
Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches. SMC (2020)
Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. EMBC (2020)
Carolina Saavedra, Rodrigo Salas, Laurent Bougrain
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System. Comput. Intell. Neurosci. 2019 (2019)
Sébastien Rimbert, Philippe Guerci, Nathalie Gayraud, Claude Meistelman, Laurent Bougrain
Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia. SMC (2019)
Sébastien Rimbert, Oleksii Avilov, Perrine Adam, Laurent Bougrain
Can suggestive hypnosis be used to improve the BCI performance ? GBCIC (2019)
Radu Ranta, Steven Le Cam, Gundars Bergmanis-Korats, Sébastien Rimbert, Laurent Bougrain
On Source Space Resolution in EEG Brain Imaging for Motor Imagery. NER (2019)
Sébastien Rimbert, Oleksii Avilov, Laurent Bougrain
Discretes motor Imageries can be used to Allow Faster Detection. GBCIC (2017)
Sébastien Rimbert, Cecilia Lindig-León, Laurent Bougrain
Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection. NER (2017)
Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain
Modulation of beta power in EEG during discrete and continuous motor imageries. NER (2017)
Cecilia Lindig-León, Laurent Bougrain
A Multi-label Classification Method for Detection of Combined Motor Imageries. SMC (2015)
Cecilia Lindig-León, Laurent Bougrain, Sébastien Rimbert
Alpha rebound improves on-line detection of the end of motor imageries. NER (2015)
Cecilia Lindig-León, Laurent Bougrain
Comparison of sensorimotor rhythms in EEG signals during simple and combined motor imageries over the contra and ipsilateral hemispheres. EMBC (2015)
Carolina Saavedra, Laurent Bougrain
Wavelet-based Semblance for P300 Single-trial Detection. BIOSIGNALS (2013)
Laurent Bougrain, Olivier Rochel, Octave Boussaton, Lionel Havet
From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain CoRR (2012)
Octave Boussaton, Laurent Bougrain
Using neuronal states for transcribing cortical activity into muscular effort. EMBC (2012)
Juan-Manuel Torres-Moreno, Laurent Bougrain, Frédéric Alexandre
Combining Supervised and Unsupervised Learning for GIS Classification CoRR (2009)
Nanying Liang, Laurent Bougrain
Decoding Finger Flexion using amplitude modulation from band-specific ECoG CoRR (2009)
Nanying Liang, Laurent Bougrain
Decoding finger flexion using amplitude modulation from band-specific ECoG. ESANN (2009)
Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing 71 (1-3) (2007)
Thomas Girod, Laurent Bougrain, Frédéric Alexandre
Toward a robust 2D spatio-temporal self-organization. ESANN (2007)
Frédéric Alexandre, Nizar Kerkeni, Khaled Ben Khalifa, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui
Supervised neuronal approaches for EEG signal classification: Experimental studies. Artificial Intelligence and Soft Computing (2006)
Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. ANNPR (2006)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Neural Network Topology Optimization. ICANN (2) (2005)
Nizar Kerkeni, Frédéric Alexandre, Mohamed Bedoui Hedi, Laurent Bougrain, Mohamed Dogui
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages CoRR (2005)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Self-organizing Map Initialization. ICANN (1) (2005)
Mohammed Attik, Laurent Bougrain, Frédéric Alexandre
Optimal Brain Surgeon Variants for Optimization. ECAI (2004)
Laurent Bougrain, Frédéric Alexandre
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison. Neurocomputing 28 (1-3) (1999)
Laurent Bougrain, Frédéric Alexandre
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem. IJCNN (1999)

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Publication Activity (10 Years)

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Laurent Bougrain