Boosting Brain-Computer Communication with high Quality User Training

Deliverables

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

Publications

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
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

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

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

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, May 2018, Pacific Grove, United States, Issue 1, 2018

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

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

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

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

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

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
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
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
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
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
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
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
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
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
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
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

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: https://www.theiet.org/resources/books/control/brain-machine-interface.cfm, Issue 1, 2018

Deliverables

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