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Boosting Brain-Computer Communication with high Quality User Training

Deliverables

Data Management Plan

Some data collected during this project will be made available to the research community as open data

Publications

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study

Author(s): Bougrain, Laurent; Rimbert, Sébastien; Rodrigues, Pedro Luiz Coelho; Canron, Geoffrey; Lotte, Fabien
Published in: 10th International IEEE/EMBS Conference on Neural Engineering (NER)., May 2021, virtually, United States, Issue 3, 2021
Publisher: IEEE

Simple Probabilistic Data-driven Model for Adaptive BCI Feedback

Author(s): Jelena Mladenović; Fabien Lotte; Jérémie Mattout; Jérémy Frey
Published in: NAT 2022 – 3rd Neuroadaptive Technology Conference, 2022
Publisher: TU Brandenburg

A framework for user training adaptation in Brain-Computer Interfaces based on mental tasks (MT-BCIs)

Author(s): Aline Roc; Fabien Lotte
Published in: International BCI meeting, 2021
Publisher: BCI society

Freedom! Making a case for more options for users during training in BCI

Author(s): Smeety Pramij; Aline Roc; Fabien Lotte
Published in: International BCI Meeting, 2021
Publisher: BCI society

Identifying factors influencing the outcome of BCI-based post stroke motor rehabilitation towards its personalization with Artificial Intelligence

Author(s): David Trocellier, Bernard N’kaoua, Fabien Lotte
Published in: MetroXRAINE 2022 – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering, 2022
Publisher: IEEE
DOI: 10.1109/metroxraine54828.2022.9967648

Tools for affective, cognitive and conative states estimation from both EEG and physiological signals

Author(s): Aurélien Appriou, Fabien Lotte
Published in: Neuroergonomics Conference (NEC), 2021
Publisher: LMU, Germany

Towards measuring states of epistemic curiosity through electroencephalographic signals

Author(s): Aurélien Appriou; Jessy Ceha; Smeety Pramij; Dan Dutartre; Edith Law; Pierre-Yves Oudeyer; Fabien Lotte
Published in: IEEE System Man and Cybernetics Conference, 2020
Publisher: IEEE

Active Inference for Adaptive BCI: application to the P300 Speller

Author(s): Jelena Mladenović, Jérémy Frey, Emmanuel Maby, Mateus Joffily, Fabien Lotte, Jeremie Mattout
Published in: International BCI meeting, 2018
Publisher: BCI society

MI-BCI Performances correlate with subject-specific frequency band characteristics

Author(s): Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Published in: International BCI Meeting 2021, Issue 9, 2021
Publisher: BCI society

Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users’ Performance

Author(s): Eidan Tzdaka; Camille Benaroch; Camille Jeunet; Fabien Lotte
Published in: IEEE International conference on System, Man and Cybernetics (IEEE SMC), Issue 9, 2020
Publisher: IEEE
DOI: 10.1109/smc42975.2020.9283307

Towards Robust Neuroadaptive HCI - Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals

Author(s): Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Published in: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, 2018, Page(s) 1-6, ISBN 9781-450356213
Publisher: ACM Press
DOI: 10.1145/3170427.3188617

What are the best motor tasks to use and calibrate SensoriMotor Rhythm Neurofeedback and Brain-Computer Interfaces? A preliminary case study

Author(s): Lotte , Fabien; Cichocki , Andrzej
Published in: rtFIN 2017 - Real-time functional Imaging and Neurofeedback conference, Issue 1, 2017
Publisher: RTFIN

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

Author(s): Pillette , Léa; Jeunet , Camille; N 'kambou , R; N'Kaoua , Bernard; Lotte , Fabien
Published in: WACAI 2018, 2018
Publisher: WACAI proceedings

Classification of attention types in EEG signals

Author(s): Léa Pillette, Aurélien Appriou, Andrzej Cichocki, Bernard N'Kaoua, Fabien Lotte
Published in: International BCI Meeting, 2018
Publisher: BCI Society

BCPy, an open-source python platform for offline EEG signals decoding and analysis

Author(s): Appriou , Aurélien; Pillette , Léa; Cichocki , Andrzej; Lotte , Fabien
Published in: International BCI Meeting, Issue 1, 2018
Publisher: International BCI society

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces

Author(s): Satyam Kumar, Florian Yger, Fabien Lotte
Published in: IEEE International Winter Conference on Brain-Computer Interfaces, 2019
Publisher: IEEE

Can transfer learning across motor tasks improve motor imagery BCI?

Author(s): Lotte , Fabien; Cichocki , Andrzej
Published in: International BCI Meeting 2018, Issue 1, 2018
Publisher: International BCI society

Would Motor-Imagery based BCI user training benefit from more women experimenters?

Author(s): Roc, Aline; Pillette, Léa; N'Kaoua, B.; Lotte, Fabien
Published in: 8th Graz Brain-Computer Interface Conference 2019, 2019
Publisher: TU Graz

Are users' traits informative enough to predict/explain their mental-imagery based BCI performances ?

Author(s): Benaroch, Camille; Jeunet, Camille; Lotte, Fabien
Published in: 8th Graz BCI Conference 2019, Sep 2019, Graz, Austria, 2019
Publisher: TU Graz

Channel selection over riemannian manifold with non-stationarity consideration for brain-computer interface applications

Author(s): Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte
Published in: Proceedings of ICASSP 2020, 2020
Publisher: IEEE

Biased feedback influences learning of Motor Imagery BCI

Author(s): Jelena Mladenović, Jérémy Frey, Jeremie Mattout, Fabien Lotte
Published in: International BCI Meeting, 2021
Publisher: BCI society

Assessing a new form of BCI user learning

Author(s): Khadijeh Sadatnejad; Fabien Lotte
Published in: International BCI Meeting, 2021
Publisher: BCI society

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results

Author(s): Yamamoto, Maria Sayu; Lotte, Fabien; Yger, Florian; Chevallier, Sylvain
Published in: EMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Issue 1, 2022
Publisher: IEEE
DOI: 10.1109/embc48229.2022.9871820

Is Event-Related Desynchronization variability correlated with BCI performance?

Author(s): Sébastien Rimbert; David Trocellier; Fabien Lotte
Published in: MetroXRAINE 2022 – IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering, 2022
Publisher: IEEE
DOI: 10.1109/metroxraine54828.2022.9967551

Reliable outlier detection by spectral clustering on Riemannian manifold of EEG covariance matrix

Author(s): Maria Sayu Yamamoto; Khadijeh Sadatnejad; Md Rabiul Islam; Fabien Lotte; Toshihisa Tanaka
Published in: International BCI meeting, 2021
Publisher: BCI society

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study

Author(s): Laurent Bougrain; Sébastien Rimbert; Pedro Rodrigues; Geoffrey Canron; Fabien Lotte
Published in: NER 2021 - 10th International IEEE/EMBS Conference on Neural Engineering, Issue 11, 2021
Publisher: IEEE
DOI: 10.1109/ner49283.2021.9441254

Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering

Author(s): Yamamoto, Maria,; Sadatnejad, Khadijeh; Tanaka, Toshihisa; Islam, Md. Rabiul; Tanaka, Yuichi; Lotte, Fabien
Published in: EMBC'2020 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, Jul 2020, Montréal, Canada, Issue 14, 2020
Publisher: IEEE

ERD modulations during motor imageries relate to users’ traits and BCI performances

Author(s): Sébastien Rimbert; Fabien Lotte
Published in: EMBC 2022 – 44th International Engineering in Medicine and Biology Conference, 2022
Publisher: IEEE
DOI: 10.1109/embc48229.2022.9871411

Workshops of the seventh international brain-computer interface meeting: not getting lost in translation

Author(s): Huggins, Jane E.; Guger, Christoph; Aarnoutse, Erik; Allison, Brendan; Anderson, Charles W.; Bedrick, Steven; Besio, Walter; Chavarriaga, Ricardo; Collinger, Jennifer L.; Do, An H.; Herff, Christian; Hohmann, Matthias; Kinsella, Michelle; Lee, Kyuhwa; Lotte, Fabien; Müller-Putz, Gernot; Nijholt, Anton; Pels, Elmar; Peters, Betts; Putze, Felix; Rupp, Rüdiger; Schalk, Gerwin; Scott, Stephanie; Tan
Published in: Brain-Computer Interfaces, Issue 2, 2019, ISSN 2326-2621
Publisher: Taylor & Francis
DOI: 10.1080/2326263x.2019.1697163

Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

Author(s): Léa Pillette, Fabien Lotte, Bernard N’Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize
Published in: NeuroImage: Clinical, Issue 28, 2020, Page(s) 102417, ISSN 2213-1582
Publisher: Elsevier BV
DOI: 10.1016/j.nicl.2020.102417

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

Author(s): Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte
Published in: MDPI Sensors, 2021, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21175740

A review of user training methods in brain computer interfaces based on mental tasks

Author(s): Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N’Kaoua, Camille Jeunet, Fabien Lotte
Published in: Journal of Neural Engineering, Issue 18/1, 2021, Page(s) 011002, ISSN 1741-2560
Publisher: Institute of Physics Publishing
DOI: 10.1088/1741-2552/abca17

Experimenters Influence on Mental-Imagery based Brain-Computer Interface User Training

Author(s): Pillette, Léa; Roc, Aline; N'Kaoua, Bernard; Lotte, Fabien
Published in: International Journal of Human-Computer Studies, Issue 4, 2021, ISSN 1071-5819
Publisher: Academic Press

When should MI-BCI feature optimization include prior knowledge, and which one?

Author(s): Camille Benaroch; Maria Sayu Yamamoto; Aline Roc; Pauline Dreyer; Camille Jeunet; Fabien Lotte
Published in: Brain-Computer Interfaces, Issue 2, 2022, ISSN 2326-2621
Publisher: Taylor & Francis
DOI: 10.1080/2326263x.2022.2033073

Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition

Author(s): Gernot R Müller-Putz; Damien Coyle; Fabien Lotte; Jing Jin; David Steyrl
Published in: Frontiers in Human Neuroscience, 2022, ISSN 1662-5161
Publisher: Frontiers Research Foundation
DOI: 10.3389/fnhum.2022.869700

Multi-Session Influence of Two Modalities of Feedback and Their Order of Presentation on MI-BCI User Training

Author(s): Léa Pillette; Bernard N'Kaoua; Romain Sabau; Bertrand Glize; Fabien Lotte
Published in: MDPI Multimodal Technologies and Interaction, Issue 11, 2021, ISSN 2414-4088
Publisher: MDPI
DOI: 10.3390/mti5030012

Grand Challenges in Neurotechnology and System Neuroergonomics

Author(s): Stephen H. Fairclough; Fabien Lotte; Fabien Lotte
Published in: Frontiers in Neuroergonomics, Issue 5, 2020, ISSN 2673-6195
Publisher: Frontiers
DOI: 10.3389/fnrgo.2020.602504

Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI.

Author(s): Jelena Mladenović; Jérémy Frey; Smeety Pramij; Jérémie Mattout; Fabien Lotte
Published in: IEEE Transactions on Biomedical Engineering, Issue 8, 2021, ISSN 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2021.3113854

Riemannian channel selection for BCI with between-session non-stationarity reduction capabilities

Author(s): Fabien Lotte; Khadijeh Sadatnejad
Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Issue 1, 2022, ISSN 1534-4320
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsre.2022.3167262

Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems

Author(s): Andreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann
Published in: Neuroinformatics, 2018, ISSN 1539-2791
Publisher: Humana Press, Inc.
DOI: 10.1007/s12021-018-9396-7

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

Author(s): F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, F Yger
Published in: Journal of Neural Engineering, Issue 15/3, 2018, Page(s) 031005, ISSN 1741-2560
Publisher: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aab2f2

SEREEGA: Simulating event-related EEG activity

Author(s): Laurens R. Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten O. Zander
Published in: Journal of Neuroscience Methods, Issue 309, 2018, Page(s) 13-24, ISSN 0165-0270
Publisher: Elsevier BV
DOI: 10.1016/j.jneumeth.2018.08.001

Defining and quantifying users’ mental imagery-based BCI skills: a first step

Author(s): Fabien Lotte, Camille Jeunet
Published in: Journal of Neural Engineering, Issue 15/4, 2018, Page(s) 046030, ISSN 1741-2560
Publisher: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aac577

Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review

Author(s): Camille Jeunet, Fabien Lotte, Jean-Marie Batail, Pierre Philip, Jean-Arthur Micoulaud Franchi
Published in: Neuroscience, Issue 378, 2018, Page(s) 225-233, ISSN 0306-4522
Publisher: Elsevier BV
DOI: 10.1016/j.neuroscience.2018.03.013

Editorial: Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures

Author(s): Felix Putze, Christian Mühl, Fabien Lotte, Stephen Fairclough, Christian Herff
Published in: Frontiers in Human Neuroscience, Issue 12, 2018, ISSN 1662-5161
Publisher: Frontiers Research Foundation
DOI: 10.3389/fnhum.2018.00440

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Author(s): Jelena Mladenovic, Jeremy Frey, Mateus Joffily, Emmanuel Maby, Fabien Lotte, Jeremie Mattout
Published in: Journal of Neural Engineering, Issue 17/1, 2020, Page(s) 016054, ISSN 1741-2552
Publisher: IOP publishing
DOI: 10.1088/1741-2552/ab5d5c

A physical learning companion for Mental-Imagery BCI User Training

Author(s): Léa Pillette, Camille Jeunet, Boris Mansencal, Roger N’Kambou, Bernard N’Kaoua, Fabien Lotte
Published in: International Journal of Human-Computer Studies, Issue 136, 2020, Page(s) 102380, ISSN 1071-5819
Publisher: Academic Press
DOI: 10.1016/j.ijhcs.2019.102380

EEG neurofeedback research: A fertile ground for psychiatry?

Author(s): J.-M. Batail, S. Bioulac, F. Cabestaing, C. Daudet, D. Drapier, M. Fouillen, T. Fovet, A. Hakoun, R. Jardri, C. Jeunet, F. Lotte, E. Maby, J. Mattout, T. Medani, J.-A. Micoulaud-Franchi, J. Mladenovic, L. Perronet, L. Pillette, T. Ros, F. Vialatte
Published in: L'Encéphale, Issue 45/3, 2019, Page(s) 245-255, ISSN 0013-7006
Publisher: Elsevier Masson
DOI: 10.1016/j.encep.2019.02.001

Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research

Author(s): Fabien Lotte, Camille Jeunet, Ricardo Chavarriaga, Laurent Bougrain, Dave E. Thompson, Reinhold Scherer, Md Rakibul Mowla, Andrea Kübler, Moritz Grosse-Wentrup, Karen Dijkstra, Natalie Dayan
Published in: Brain-Computer Interfaces, 2020, Page(s) 1-12, ISSN 2326-263X
Publisher: Taylor & Francis
DOI: 10.1080/2326263x.2019.1697143

Modern machine learning algorithms to classify cognitive and affective states from electroencephalography signals

Author(s): Aurélien Appriou, Andrzej Cichocki, Fabien Lotte
Published in: IEEE systems, man, and cybernetics magazine, 2020, ISSN 2333-942X
Publisher: Institute of Electrical and Electronics Engineers Inc.

Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training.

Author(s): Camille Benaroch; Camille Benaroch; Khadijeh Sadatnejad; Aline Roc; Aline Roc; Aurélien Appriou; Aurélien Appriou; Thibaut Monseigne; Smeety Pramij; Jelena Mladenovic; Jelena Mladenovic; Léa Pillette; Léa Pillette; Camille Jeunet; Fabien Lotte; Fabien Lotte
Published in: Frontiers in Human Neuroscience, Vol 15 (2021), Issue 3, 2021, ISSN 1662-5161
Publisher: Frontiers Research Foundation
DOI: 10.3389/fnhum.2021.635653

Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation

Author(s): Raphaëlle N. Roy; Marcel F. Hinss; Ludovic Darmet; Simon Ladouce; Emilie S. Jahanpour; Bertille Somon; Xiaoqi Xu; Nicolas Drougard; Frédéric Dehais; Fabien Lotte
Published in: Frontiers in Neuroergonomics, Issue 1, 2022, ISSN 2673-6195
Publisher: Frontiers
DOI: 10.3389/fnrgo.2022.838342

Interfaces cerveau-machine (Les)

Author(s): Frédéric Dehais, Fabien Lotte
Published in: Dictionnaire du numérique, 2022
Publisher: ISTE

Apprendre à contrôler une interface cerveau-ordinateur

Author(s): Fabien Lotte; Camille Jeunet-Kelway
Published in: Vers le cyber-monde : Humain et numérique en interaction, 2020
Publisher: CNRS edition

A BCI challenge for the signal processing community: considering the user in the loop

Author(s): Lotte , Fabien; Jeunet , Camille; Mladenovic , Jelena; N 'kaoua , Bernard; Pillette , Léa
Published in: Signal Processing and Machine Learning for Brain-Machine Interfaces, Issue 1, 2018
Publisher: IET

Apprendre à contrôler une interface cerveau-ordinateur : le projet BrainConquest

Author(s): Lotte, Fabien; Appriou, Aurélien; Benaroch, Camille; Dreyer, Pauline; Er, Alper; Monseigne, Thibaut; Pillette, Léa; Pramij, Smeety; Rimbert, Sébastien; Roc, Aline
Published in: Neurotechnologies et innovation responsable, Issue 8, 2021
Publisher: Annales des Mines
DOI: 10.3917/rindu1.213.0016

Introduction: Evolution of Brain-Computer Interfaces

Author(s): Fabien Lotte; Nam, Chang S.; Anton Nijholt
Published in: Brain-Computer Interfaces Handbook: Technological and Theoretical Advance, Issue 3, 2018
Publisher: Taylor & Francis

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