World's Best Scientists 2026 revealed!

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Computer Science

D-Index
34
Citations
12902
World Ranking
11881
National Ranking
297

Overview

Marco Congedo is affiliated with the Centre national de la recherche scientifique (CNRS) in France. Their research primarily spans the field of neuroscience, with a particular focus on cognitive neuroscience, cellular and molecular neuroscience, sensory systems, signal processing, and neurology.

The scientist's work addresses several core topics in brain research and neural engineering. The main topics covered by their publications include:

  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Hearing, Cochlea, Tinnitus, Genetics
  • Blind Source Separation Techniques
  • Vestibular and auditory disorders
  • Hearing Loss and Rehabilitation

Marco Congedo's recent publications include the following papers:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), 2020, Brain
  • Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities, 2020, IEEE Transactions on Biomedical Engineering
  • Approximate Joint Diagonalization with Riemannian Optimization on the General Linear Group, 2020, SIAM Journal on Matrix Analysis and Applications
  • Dimensionality Reduction For Bci Classification Using Riemannian Geometry, 2020, HAL (Le Centre pour la Communication Scientifique Directe)
  • REM Sleep Impairment May Underlie Sleep-Driven Modulations of Tinnitus in Sleep Intermittent Tinnitus Subjects: A Controlled Study, 2023, International Journal of Environmental Research and Public Health

The main venues where Marco Congedo has published include:

  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Hearing Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Médecine du Sommeil
  • Brain

Frequent co-authors collaborating with Marco Congedo are:

  • Robin Guillard
  • Alain Londero
  • Jérémie Mattout
  • Sotirios Papadopoulos
  • Maciej J Szul

The research contributions of Marco Congedo center on advancing understanding within both fundamental and applied neuroscience fields. Their work on neurofeedback, brain-computer interfaces, and auditory disorders contributes to interdisciplinary intersections between neural engineering and sensory system studies.

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

  • 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

  • Multiclass Brain–Computer Interface Classification by Riemannian Geometry

    A. Barachant;S. Bonnet;M. Congedo;C. Jutten

  • Classification of covariance matrices using a Riemannian-based kernel for BCI applications

    Alexandre Barachant;StéPhane Bonnet;Marco Congedo;Christian Jutten

  • Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

    Marco Congedo;Alexandre Barachant;Rajendra Bhatia

  • The neural correlates of tinnitus-related distress

    Sven Vanneste;Mark Plazier;Elsa van der Loo;Paul Van de Heyning

  • Transfer Learning: A Riemannian Geometry Framework With Applications to Brain–Computer Interfaces

    Paolo Zanini;Marco Congedo;Christian Jutten;Salem Said

  • Tinnitus Intensity Dependent Gamma Oscillations of the Contralateral Auditory Cortex

    Elsa van der Loo;Steffen Gais;Marco Congedo;Sven Vanneste

  • Riemannian geometry applied to BCI classification

    Alexandre Barachant;Stéphane Bonnet;Marco Congedo;Christian Jutten

  • Low-Resolution Electromagnetic Tomography Neurofeedback

    Marco Congedo;Joel Lubar;D. Joffe

  • Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

    Pedro Luiz Coelho Rodrigues;Christian Jutten;Marco Congedo

  • On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics.

    Marco Congedo;Cédric Gouy-Pailler;Christian Jutten

  • Classification of movement intention by spatially filtered electromagnetic inverse solutions

    Marco Congedo;Fabien Lotte;Anatole Lécuyer

  • Nonstationary Brain Source Separation for Multiclass Motor Imagery

    C. Gouy-Pailler;M. Congedo;C. Brunner;C. Jutten

  • A robust sensor-selection method for P300 brain–computer interfaces

    Hubert Cecotti;Bertrand Rivet;Marco Congedo;Christian Jutten

  • A Plug&Play P300 BCI Using Information Geometry

    Alexandre Barachant;Marco Congedo

  • " Brain Invaders": a prototype of an open-source P300-based video game working with the OpenViBE platform

    Marco Congedo;Matthieu Goyat;Nicolas Tarrin;Gelu Ionescu

  • A New Generation of Brain-Computer Interface Based on Riemannian Geometry

    Marco Congedo;Alexandre Barachant;Anton Andreev

  • A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm

    L. Mayaud;M. Congedo;A. Van Laghenhove;A. Van Laghenhove;D. Orlikowski;D. Orlikowski

Frequent Co-Authors

Christian Jutten
Christian Jutten Grenoble Alpes University
Dirk De Ridder
Dirk De Ridder University of Otago
Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Joel F. Lubar
Joel F. Lubar University of Tennessee at Knoxville
Sven Vanneste
Sven Vanneste Trinity College Dublin
Jérémie Mattout
Jérémie Mattout Grenoble Alpes University
Gert Pfurtscheller
Gert Pfurtscheller Graz University of Technology
Clemens Brunner
Clemens Brunner University of Graz
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)

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