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2020 – today
- 2024
[c25]Sébastien Rimbert, Valérie Marissens Cueva, Laurent Bougrain, Fabien Lotte:
Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation. BCI 2024: 1-6- 2023
- [c24]Gabriela Herrera Altamira, Stéphanie Fleck, Anatole Lécuyer, Laurent Bougrain:
EEG Modulations Induced by a Visual and Vibrotactile Stimulation. SMC 2023: 4247-4252 - [c23]Gabriela Herrera Altamira
, Nathalie Skiba, Anatole Lécuyer, Laurent Bougrain, Stéphanie Fleck:
Multisensory neurofeedback design for KMI embodiment. IMX Workshops 2023: 56-58 - 2021
- [j4]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): 3087-3097 (2021) - [c22]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: 5-8 - 2020
- [c21]Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain:
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. EMBC 2020: 142-145 - [c20]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: 2483-2498
2010 – 2019
- 2019
- [j3]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: 8432953:1-8432953:10 (2019) - [c19]Sébastien Rimbert, Oleksii Avilov, Perrine Adam, Laurent Bougrain:
Can suggestive hypnosis be used to improve the BCI performance ? GBCIC 2019 - [c18]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: 1025-1029 - [c17]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: 3931-3936 - 2017
- [c16]Sébastien Rimbert, Oleksii Avilov, Laurent Bougrain:
Discretes motor Imageries can be used to Allow Faster Detection. GBCIC 2017 - [c15]Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain:
Modulation of beta power in EEG during discrete and continuous motor imageries. NER 2017: 333-336 - [c14]Sébastien Rimbert, Cecilia Lindig-León, Laurent Bougrain:
Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection. NER 2017: 436-439 - 2015
- [c13]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: 3953-3956 - [c12]Cecilia Lindig-León, Laurent Bougrain, Sébastien Rimbert:
Alpha rebound improves on-line detection of the end of motor imageries. NER 2015: 655-658 - [c11]Cecilia Lindig-León, Laurent Bougrain:
A Multi-label Classification Method for Detection of Combined Motor Imageries. SMC 2015: 3128-3133 - 2013
- [c10]Carolina Saavedra, Laurent Bougrain:
Wavelet-based Semblance for P300 Single-trial Detection. BIOSIGNALS 2013: 120-125 - 2012
- [c9]Octave Boussaton, Laurent Bougrain:
Using neuronal states for transcribing cortical activity into muscular effort. EMBC 2012: 2513-2516 - [i4]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 abs/1212.0083 (2012)
2000 – 2009
- 2009
- [c8]Nanying Liang, Laurent Bougrain:
Decoding finger flexion using amplitude modulation from band-specific ECoG. ESANN 2009 - [i3]Juan-Manuel Torres-Moreno, Laurent Bougrain, Frédéric Alexandre:
Combining Supervised and Unsupervised Learning for GIS Classification. CoRR abs/0905.2347 (2009) - [i2]Nanying Liang, Laurent Bougrain:
Decoding Finger Flexion using amplitude modulation from band-specific ECoG. CoRR abs/0907.5500 (2009) - 2007
- [j2]Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
Spatio-temporal biologically inspired models for clean and noisy speech recognition. Neurocomputing 71(1-3): 131-136 (2007) - [c7]Thomas Girod, Laurent Bougrain, Frédéric Alexandre:
Toward a robust 2D spatio-temporal self-organization. ESANN 2007: 145-150 - 2006
- [c6]Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition. ANNPR 2006: 11-20 - [c5]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: 114-119 - 2005
- [c4]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Neural Network Topology Optimization. ICANN (2) 2005: 53-58 - [c3]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Self-organizing Map Initialization. ICANN (1) 2005: 357-362 - [i1]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 abs/cs/0510083 (2005) - 2004
- [c2]Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Optimal Brain Surgeon Variants for Optimization. ECAI 2004: 957-958 - 2000
- [b1]Laurent Bougrain:
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). Henri Poincaré University, Nancy, France, 2000
1990 – 1999
- 1999
- [j1]Laurent Bougrain, Frédéric Alexandre:
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison. Neurocomputing 28(1-3): 177-189 (1999) - [c1]Laurent Bougrain, Frédéric Alexandre:
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem. IJCNN 1999: 3451-3456
Coauthor Index
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