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D-Index & Metrics

Computer Science

D-Index
49
Citations
15700
World Ranking
5764
National Ranking
119

Overview

Fabien Lotte is affiliated with L'Abri in Switzerland and specializes primarily in the field of Neuroscience. Their research covers numerous subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Electrical and Electronic Engineering, and Human-Computer Interaction.

The scientist's main topics of study involve EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural and Behavioral Psychology Studies, Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced Memory and Neural Computing, and Gaze Tracking and Assistive Technology.

Fabien Lotte has contributed extensively to both journal articles and books. A notable book publication is titled Brain-Computer Interfaces, released in 2024 by Elsevier BV.

Recent papers by Fabien Lotte include:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), 2020, Brain
  • A review of user training methods in brain computer interfaces based on mental tasks, 2020, Journal of Neural Engineering
  • Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals, 2020, IEEE Systems Man and Cybernetics Magazine
  • Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training, 2021, Frontiers in Human Neuroscience
  • Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies, 2020, NeuroImage Clinical

Frequent co-authors of Fabien Lotte include Camille Jeunet, Léa Pillette, Bernard N'Kaoua, Sébastien Rimbert, and Aline Roc.

Fabien Lotte's research is often published in venues such as HAL (Le Centre pour la Communication Scientifique Directe), Zenodo (CERN European Organization for Nuclear Research), Journal of Neural Engineering, Frontiers in Neuroergonomics, and arXiv (Cornell University).

Best Publications

  • A review of classification algorithms for EEG-based brain–computer interfaces

    Fabien Lotte;Marco Congedo;Anatole Lécuyer;Fabrice Lamarche

  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

    Fabien Lotte;Laurent Bougrain;Andrzej Cichocki;Andrzej Cichocki;Maureen Clerc

  • Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

    Fabien Lotte;Cuntai Guan

  • Openvibe: An open-source software platform to design, test, and use brain--computer interfaces in real and virtual environments

    Yann Renard;Fabien Lotte;Guillaume Gibert;Marco Congedo

  • Brain-Computer Interfaces, Virtual Reality, and Videogames

    A. Lecuyer;F. Lotte;R.B. Reilly;R. Leeb

  • Brain-Computer Interfaces: Beyond Medical Applications

    J. van Erp;F. Lotte;M. Tangermann

  • Riemannian Approaches in Brain-Computer Interfaces: A Review

    Florian Yger;Maxime Berar;Fabien Lotte

  • Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

    Fabien Lotte;Florian Larrue;Christian Mühl

  • Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces

    Fabien Lotte

  • A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces

    Fabien Lotte

  • Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery

    L. Bonnet;F. Lotte;A. Lecuyer

  • Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study

    Camille Jeunet;Emilie Jahanpour;Emilie Jahanpour;Fabien Lotte

  • Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns

    Camille Jeunet;Bernard N’Kaoua;Sriram Subramanian;Martin Hachet

  • EEG-based workload estimation across affective contexts

    Christian Mühl;Camille Jeunet;Camille Jeunet;Fabien Lotte;Fabien Lotte

  • Learning from other subjects helps reducing Brain-Computer Interface calibration time

    Fabien Lotte;Cuntai Guan

  • Combining BCI with Virtual Reality: Towards New Applications and Improved BCI

    Fabien Lotte;Josef Faller;Christoph Guger;Yann Renard

  • Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates.

    Camille Jeunet;Bernard N'Kaoua;Fabien Lotte

  • Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions.

    Frédéric Dehais;Alban Duprès;Sarah Blum;Nicolas Drougard

  • Classification of movement intention by spatially filtered electromagnetic inverse solutions

    Marco Congedo;Fabien Lotte;Anatole Lécuyer

  • A review of rapid serial visual presentation-based brain-computer interfaces.

    Stephanie Lees;Natalie Dayan;Hubert Cecotti;Paul McCullagh

  • Comparative study of band-power extraction techniques for Motor Imagery classification

    Nicolas Brodu;Fabien Lotte;Anatole Lecuyer

Frequent Co-Authors

Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Jérémie Mattout
Jérémie Mattout Grenoble Alpes University
Marco Congedo
Marco Congedo Centre national de la recherche scientifique, CNRS
Cuntai Guan
Cuntai Guan Nanyang Technological University
Renaud Jardri
Renaud Jardri University of Lille
Ricardo Chavarriaga
Ricardo Chavarriaga École Polytechnique Fédérale de Lausanne
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Reinhold Scherer
Reinhold Scherer University of Essex
Andrea Kübler
Andrea Kübler University of Würzburg

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