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Jérémie Mattout

Jérémie Mattout

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
8029
World Ranking
9323
National Ranking
223

Overview

Jérémie Mattout is affiliated with Grenoble Alpes University in France and specializes in neuroscience with a focus on cognitive neuroscience. Their research spans multiple subfields including cellular and molecular neuroscience, experimental and cognitive psychology, psychiatry and mental health, and artificial intelligence.

Their work frequently addresses topics such as EEG and brain-computer interfaces, neural dynamics and brain function, neuroscience and neural engineering, functional brain connectivity studies, neuroscience and music perception, hearing loss and rehabilitation, and sleep and wakefulness research.

Recent publications by Jérémie Mattout include:

  • Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference (2021), Neuroscience of Consciousness
  • Automatic analysis of single-channel sleep EEG in a large spectrum of sleep disorders (2020), Journal of Clinical Sleep Medicine
  • Diverse beta burst waveform motifs characterize movement-related cortical dynamics (2023), Progress in Neurobiology
  • Exploring scoring methods for research studies: Accuracy and variability of visual and automated sleep scoring (2020), Journal of Sleep Research
  • Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI (2021), IEEE Transactions on Biomedical Engineering

Jérémie Mattout has collaborated extensively with several frequent coauthors. These include Emmanuel Maby (12 collaborative works), James Bonaiuto (9), Marco Congedo (9), Françoise Lecaignard (9), and Sotirios Papadopoulos (8).

The scientist's publications are commonly found in a variety of research venues. Notable among these are bioRxiv (Cold Spring Harbor Laboratory) with 11 publications, TUGraz OPEN Library (Graz University of Technology) with 4, arXiv (Cornell University) with 4, Neuroscience of Consciousness with 2, and NeuroImage with 2.

Best Publications

  • Variational free energy and the Laplace approximation

    Karl J. Friston;Jérémie Mattout;Nelson J. Trujillo-Barreto;John Ashburner

  • Action understanding and active inference

    Karl Friston;Jérémie Mattout;James Kilner

  • Dynamic causal modeling of evoked responses in EEG and MEG

    Olivier David;Stefan J. Kiebel;Lee M. Harrison;Jérémie Mattout

  • Multiple sparse priors for the M/EEG inverse problem

    Karl J. Friston;Lee M. Harrison;Jean Daunizeau;Stefan J. Kiebel

  • EEG and MEG data analysis in SPM8.

    Vladimir Litvak;Jérémie Mattout;Stefan J. Kiebel;Christophe Phillips

  • Impaired pitch perception and memory in congenital amusia: the deficit starts in the auditory cortex

    Philippe Albouy;Jérémie Mattout;Romain Bouet;Emmanuel Maby

  • Hemodynamic correlates of EEG: A heuristic

    James M. Kilner;Jérémie Mattout;Richard N. Henson;Karl J. Friston

  • MEG source localization under multiple constraints: an extended Bayesian framework.

    Jérémie Mattout;Christophe Phillips;William D. Penny;Michael D. Rugg

  • An empirical Bayesian solution to the source reconstruction problem in EEG

    Christophe Phillips;Jeremie Mattout;Michael D. Rugg;Pierre Maquet

  • Canonical source reconstruction for MEG

    Jérémie Mattout;Richard N. Henson;Karl J. Friston

  • Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework

    Jean Daunizeau;Christophe Grova;Guillaume Marrelec;Jérémie Mattout

  • Disentangling motor execution from motor imagery with the phantom limb

    Estelle Raffin;Jérémie Mattout;Jérémie Mattout;Karen T. Reilly;Karen T. Reilly;Pascal Giraux

  • A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction

    Richard N. Henson;Guillaume Flandin;Karl J. Friston;Jérémie Mattout

  • Selecting forward models for MEG source-reconstruction using model-evidence.

    Richard N. A. Henson;Jérémie Mattout;Christophe Phillips;Karl J. Friston

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

    Hubert Cecotti;Bertrand Rivet;Marco Congedo;Christian Jutten

  • Bayesian estimation of evoked and induced responses.

    Kark J. Friston;Richard Henson;Christophe Phillips;Jérémie Mattout

  • Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation

    K. Jerbi;J.R. Vidal;J. Mattout;E. Maby

  • Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference

    Lars Sandved-Smith;Casper Hesp;Jérémie Mattout;Karl Friston

  • The epistemic and pragmatic value of non-action: a predictive coding perspective on meditation.

    Antoine Lutz;Jérémie Mattout;Giuseppe Pagnoni

  • Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models

    J. Daunizeau;J. Mattout;D. Clonda;B. Goulard

  • The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming.

    Ana Sofía Hincapié;Jan Kujala;Jan Kujala;Jérémie Mattout;Annalisa Pascarella

  • Multivariate source prelocalization (MSP): use of functionally informed basis functions for better conditioning the MEG inverse problem.

    Jérémie Mattout;Mélanie Pélégrini-Issac;Line Garnero;Habib Benali

  • Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach

    J. Daunizeau;C. Grova;J. Mattout;G. Marrelec

  • MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters

    Ana-Sofía Hincapié;Jan Kujala;Jérémie Mattout;Sebastien Daligault

  • Exploring scoring methods for research studies: Accuracy and variability of visual and automated sleep scoring.

    Christian Berthomier;Vincenzo Muto;Christina Schmidt;Gilles Vandewalle

  • Data-driven parceling and entropic inference in MEG.

    Ervig Lapalme;Jean-Marc Lina;Jean-Marc Lina;Jean-Marc Lina;Jérémie Mattout

  • Impact of Spatial Filters During Sensor Selection in a Visual P300 Brain-Computer Interface

    Bertrand Rivet;Hubert Cecotti;Emmanuel Maby;Emmanuel Maby;Jeremie Mattout;Jeremie Mattout

  • EEG sensor selection by sparse spatial filtering in P300 speller brain-computer interface

    Bertrand Rivet;Hubert Cecotti;Ronald Phlypo;Olivier Bertrand

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Christophe Phillips
Christophe Phillips University of Liège
Richard N. Henson
Richard N. Henson MRC Cognition and Brain Sciences Unit
Habib Benali
Habib Benali Concordia University
Jean-Marc Lina
Jean-Marc Lina École de Technologie Supérieure
Mélanie Pélégrini-Issac
Mélanie Pélégrini-Issac Sorbonne University
William D. Penny
William D. Penny University of East Anglia

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