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Author

Laurent Bougrain

Observed names: BOUGRAIN, Laurent, Bougrain Laurent, Bougrain, L., Bougrain, Laurent, L Bougrain, L. Bougrain, Laurent Boougrain
Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Inserm, Sorbonne Université, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Laboratoire Lorrain de Recherche en Informatique et ses Applications, Institut du Cerveau, NERV: Neuroingénierie des systèmes pour modéliser et interfacer les réseaux cérébraux, Université de Lorraine
Observed institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Inserm, RIKEN Center for Brain Science, Sorbonne Université, Assistance Publique – Hôpitaux de Paris, RIKEN, Pitié-Salpêtrière Hospital, Laboratoire Lorrain de Recherche en Informatique et ses Applications, Centre Inria de l'Université de Lorraine, Institut du Cerveau, NERV: Neuroingénierie des systèmes pour modéliser et interfacer les réseaux cérébraux, Université de Lorraine
ORCID: 0000-0001-6794-0505
Observed ORCID: 0000-0001-6794-0505
OpenAlex ID: A5085062328
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
2018 · F Lotte, L Bougrain, et al. · Journal of Neural Engineering · 2,427
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Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction
2010 · Clerc, Maureen, Bougrain, Laurent, et al. · Human-computer interaction series · 414
Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005
2005 · Attik, Mohammed, Bougrain, Laurent, et al. · Lecture notes in computer science · 172
Brain–Computer Interfaces 1: Foundations and Methods
2016 · Clerc, Maureen, Bougrain, Laurent, et al. · Wiley eBooks · 103
Decoding Finger Flexion from Band-Specific ECoG Signals in Humans
2012 · Nanying Liang, Laurent Bougrain · Frontiers in Neuroscience · 85
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Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?
2019 · Sébastien Rimbert, Nathalie Gayraud, et al. · Frontiers in Human Neuroscience · 71
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Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives
2022 · Salomé Le Franc, Gabriela Herrera Altamira, et al. · Frontiers in Human Neuroscience · 44
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Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals
2020 · Oleksii Avilov, Sebastien Rimbert, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 43
Median Nerve Stimulation Based BCI: A New Approach to Detect Intraoperative Awareness During General Anesthesia
2019 · Sébastien Rimbert, Pierre Riff, et al. · Frontiers in Neuroscience · 37
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Self-organizing Map Initialization
2005 · Mohammed Attik, Laurent Bougrain, et al. · Lecture notes in computer science · 31
Author manuscript, published in "TOBI Workshop lll- Tools for Brain-Computer Interaction- 2012 (2012)" Finally, what is the best filter for P300 detection?
2012 · L. Bougrain, C. Saavedra, et al. · HAL · 28
An Open-Access P300 Speller Database
2010 · Claudia Ivette Ledesma‐Ramírez, Erik Bojorges-Valdez, et al. · HAL · 28
Knowledge Recovery for Continental-Scale Mineral Exploration by Neural Networks
2003 · Laurent Bougrain, Maria Gonzalez, et al. · Natural Resources Research · 28
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Electroencephalographic modulations during an open- or closed-eyes motor task
2018 · Sébastien Rimbert, Rahaf Al-Chwa, et al. · PeerJ · 27
A Multi-label Classification Method for Detection of Combined Motor Imageries
2015 · Cecilia Lindig-Leon, Laurent Bougrain · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 24
Averaging techniques for single-trial analysis of oddball event-related potentials
2008 · Nanying Liang, Laurent Bougrain · HAL · 23
Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness
2021 · Oleksii Avilov, Sebastien Rimbert, et al. · IEEE Transactions on Biomedical Engineering · 22
Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks
2005 · Nizar Kerkeni, Frédéric Alexandre, et al. · HAL · 18
Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research
2019 · Fabien Lotte, Camille Jeunet, et al. · Brain-Computer Interfaces · 17
Hypnotic State Modulates Sensorimotor Beta Rhythms During Real Movement and Motor Imagery
2019 · Sébastien Rimbert, Manuel Zaepffel, et al. · Frontiers in Psychology · 16
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Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches
2020 · Sebastien Rimbert, Laurent Bougrain, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 15
Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia
2019 · Sebastien Rimbert, Philippe Guerci, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 15
Neural Network Topology Optimization
2005 · Mohammed Attik, Laurent Bougrain, et al. · Lecture notes in computer science · 15
MOTANA: study protocol to investigate motor cerebral activity during a propofol sedation
2019 · Sébastien Rimbert, Denis Schmartz, et al. · Trials · 14
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Modulation of beta power in EEG during discrete and continuous motor imageries
2017 · Sebastien Rimbert, Cecilia Lindig-Leon, et al. · International IEEE/EMBS Conference on Neural Engineering · 13
Works count: 216
Citation count: 4,103
H-index: 18
I10-index: 34
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