J. Mattout

J. Mattout, H. Bastuji, J. Taillard, 2020, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response

A. Lutz, R. Davidson, J. Mattout, 2022, bioRxiv.

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

J. Mattout, H. Cecotti, E. Maby, 2011, Brain Topography.

Diverse beta burst waveform motifs characterize movement-related cortical dynamics

Maciej J Szul, Maciej J. Szul, J. Mattout, 2022, Progress in Neurobiology.

Tangent space alignment: Transfer learning for Brain-Computer Interface

M. Congedo, J. Mattout, A. Bleuzé, 2022, Frontiers in Human Neuroscience.

Adults with Autism Tend to Undermine the Hidden Environmental Structure: Evidence from a Visual Associative Learning Task

C. Schmitz, J. Mattout, M. Hénaff, 2018, Journal of Autism and Developmental Disorders.

The challenge of controlling an auditory BCI in the case of severe motor disability

P. Séguin, J. Luauté, D. Morlet, 2023, medRxiv.

Bayesian estimation of evoked and induced responses

Karl J. Friston, Jérémie Mattout, Christophe Phillips, 2006, Human brain mapping.

Tactile hypersensitivity and GABA concentration in the sensorimotor cortex of adults with autism

C. Schmitz, J. Mattout, F. Lamberton, 2019, Autism research : official journal of the International Society for Autism Research.

EEG and MEG Data Analysis in SPM8

Karl J. Friston, William D. Penny, Robert Oostenveld, 2011, Comput. Intell. Neurosci..

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

Karl J. Friston, Jérémie Mattout, Christophe Phillips, 2009, NeuroImage.

Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields

Karl J. Friston, Gareth R. Barnes, Jérémie Mattout, 2007, NeuroImage.

Canonical Source Reconstruction for MEG

Karl J. Friston, Jérémie Mattout, Richard N. A. Henson, 2007, Comput. Intell. Neurosci..

Dynamic causal modeling of evoked responses in EEG and MEG

Karl J. Friston, Stefan J. Kiebel, Jérémie Mattout, 2006, NeuroImage.

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

Jan Kujala, Domingo Mery, Jérémie Mattout, 2017, NeuroImage.

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

Jan Kujala, Domingo Mery, Jérémie Mattout, 2016, Comput. Intell. Neurosci..

Bayesian inversion of EEG models

Karl J. Friston, Jérémie Mattout, Christophe Phillips, 2007 .

MEG source localization under multiple constraints: An extended Bayesian framework

Karl J. Friston, William D. Penny, Jérémie Mattout, 2006, NeuroImage.

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

Diego Clonda, Jérémie Mattout, Jean Daunizeau, 2006, IEEE Transactions on Biomedical Engineering.

An empirical Bayesian solution to the source reconstruction problem in EEG

Karl J. Friston, Christophe Phillips, Jeremie Mattout, 2005, NeuroImage.

EEG artifact correction strategies for online trial-by-trial analysis

Emmanuel Maby, Amanda Medeiros de Freitas, Gaëtan Sanchez, 2019, Journal of neural engineering.

Evaluating Automatic Artifact correction for Online Hypothesis Testing

Emmanuel Maby, Jérémie Mattout, Alcimar Barbosa Soares, 2019, GBCIC.

Retrospective study of the acute period of locked-in syndrome: Consciousness recovery and communication restoration

P. Séguin, J. Mattout, P. Giraux, 2016 .

Empirical Bayes evaluation of fused EEG-MEG source reconstruction: Application to auditory mismatch evoked responses

Jérémie Mattout, Anne Caclin, Françoise Lecaignard, 2020, NeuroImage.

Hearing Faces: How the Infant Brain Matches the Face It Sees with the Speech It Hears

Jean-Francois Mangin, Jérémie Mattout, Sylvain Baillet, 2009, Journal of Cognitive Neuroscience.

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

Jérémie Mattout, Habib Benali, Line Garnero, 2005, NeuroImage.

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

G. Pagnoni, A. Lutz, J. Mattout, 2019, Current opinion in psychology.

Active Inference for Adaptive BCI: application to the P300 Speller pdf

Jelena Mladenovic, Jérémy Frey, Emmanuel Maby, 2018, ArXiv.

Endowing the Machine with Active Inference: A Generic Framework to Implement Adaptive BCI

Jérémy Frey, Mateus Joffily, Fabien Lotte, 2017 .

Action understanding and active inference

Karl J. Friston, Jérémie Mattout, James Kilner, 2011, Biological Cybernetics.

Dynamics of Oddball Sound Processing: Trial-by-Trial Modeling of ECoG Signals

G. Schalk, J. Mattout, A. Caclin, 2022, Frontiers in Human Neuroscience.

Impact of the time segment analysis for P300 detection with spatial filtering

E. Maby, B. Rivet, H. Cecotti, 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

Reducing Calibration Time for the P300 Brain-Computer Interface Speller

Emmanuel Maby, Jérémie Mattout, Hubert Cecotti, 2010 .

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

E. Maby, H. Cecotti, B. Rivet, 2011, Brain Topography.

Estimates of cortical column orientation improve MEG source inversion

Gareth R. Barnes, Jérémie Mattout, Sven Bestmann, 2019, NeuroImage.

Multivariate Group Effect Analysis in Functional Magnetic Resonance Imaging

Jérémie Mattout, Habib Benali, Mélanie Pélégrini-Issac, 2003, IPMI.

Hierarchical multivariate group analysis of functional MRI data

Ferath Kherif, Jérémie Mattout, Habib Benali, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Decision-Making in a Changing World: A Study in Autism Spectrum Disorders

C. Schmitz, J. Mattout, S. Robic, 2014, Journal of Autism and Developmental Disorders.

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

C. Hesp, A. Lutz, K. Friston, 2021, Neuroscience of consciousness.

Neurocomputational Underpinnings of Expected Surprise

O. Bertrand, J. Mattout, A. Caclin, 2018, The Journal of Neuroscience.

Distributed source localisation of the M 170 using multiple constraints

K. D. Singh, G. R. Barnes, A. Hillebrand, 2005 .

Mind the Traps! Design Guidelines for Rigorous BCI Experiments

Reinhold Scherer, Fabien Lotte, Jérémie Mattout, 2018 .

Looking for a reference for large datasets: relative reliability of visual and automatic sleep scoring

P. Berthomier, O. Benoit, C. Berthomier, 2019, bioRxiv.

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

Ronald Phlypo, Hubert Cecotti, Bertrand Rivet, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

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

Emmanuel Maby, Fabien Lotte, Jeremie Mattout, 2019, Journal of neural engineering.

Adaptive training session for a P300 speller brain–computer interface

Hubert Cecotti, Bertrand Rivet, Jérémie Mattout, 2011, Journal of Physiology-Paris.

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

O Bertrand, H Cecotti, B Rivet, 2011, Journal of neural engineering.

Multiple sparse priors for the M/EEG inverse problem

Karl J. Friston, Guillaume Flandin, Stefan J. Kiebel, 2008, NeuroImage.

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

Jacques Prado, Christian Berthomier, Vincenzo Muto, 2020, Journal of sleep research.

The Impact of Flow in an EEG-based Brain Computer Interface pdf

Jérémy Frey, Fabien Lotte, Jérémie Mattout, 2017, GBCIC.

EEG neurofeedback research: A fertile ground for psychiatry?

F. Cabestaing, T. Medani, J. Mattout, 2019, L'Encephale.

Erp-based BCI Training for children with ADHD: Motivations and Trial Design

Emmanuel Maby, Jérémie Mattout, Mélodie Fouillen, 2017, GBCIC.

Toward a New Application of Real-Time Electrophysiology: Online Optimization of Cognitive Neurosciences Hypothesis Testing

Emmanuel Maby, Jean Daunizeau, Jérémie Mattout, 2014, Brain sciences.

Why BCIs Work Poorly with the patients who Need them the most?

Emmanuel Maby, Jérémie Mattout, Perrine Séguin, 2023, GBCIC.

An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces

J. Mattout, J. Bonaiuto, Sotirios Papadopoulos, 2022, Frontiers in Neuroscience.

Models of functional neuroimaging data.

Karl J. Friston, Olivier David, Karl J Friston, 2006, Current medical imaging reviews.

Data-driven parceling and entropic inference in MEG

Jérémie Mattout, Jean-Marc Lina, Ervig Lapalme, 2006, NeuroImage.

Does function fit structure? A ground truth for non-invasive neuroimaging

Matthew J. Brookes, Peter G. Morris, William D. Penny, 2014, NeuroImage.

Hemodynamic correlates of EEG: A heuristic

Karl J. Friston, Jérémie Mattout, James Kilner, 2005, NeuroImage.

On assessing neurofeedback effects: should double-blind replace neurophysiological mechanisms?

Fabien Lotte, Jérémie Mattout, Guilherme Wood, 2017, Brain : a journal of neurology.

Bayesian model selection and averaging

William D. Penny, Nelson J. Trujillo-Barreto, Jérémie Mattout, 2007 .

Empirical evaluation of fused EEG-MEG source reconstruction. Application to auditory mismatch generators

Jérémie Mattout, Anne Caclin, Françoise Lecaignard, 2019 .

Altered retrieval of melodic information in congenital amusia: insights from dynamic causal modeling of MEG data

Jérémie Mattout, Barbara Tillmann, Anne Caclin, 2015, Front. Hum. Neurosci..

Infraclinical detection of voluntary attention in coma and post-coma patients using electrophysiology

C. Fischer, J. Luauté, D. Morlet, 2022, Clinical Neurophysiology.

Evidence for implicit and adaptive deployment of precision weighting during passive listening: a simultaneous EEG/MEG study

Jérémie Mattout, Anne Caclin, Françoise Lecaignard, 2018, bioRxiv.

Neuromagnetic correlates of adaptive plasticity across the hand-face border in human primary somatosensory cortex.

Jérémie Mattout, Claude Delpuech, Alessandro Farnè, 2016, Journal of neurophysiology.

Brain-Computer Interfaces: A Neuroscience Paradigm of Social Interaction? A Matter of Perspective

Jérémie Mattout, J. Mattout, 2012, Front. Hum. Neurosci..

Verbal Communication through Brain Computer Interfaces

Théodore Papadopoulo, Maureen Clerc, Claude Desnuelle, 2013, Interspeech 2013.

Transfer Learning for the Riemannian Tangent Space: Applications to Brain-Computer Interfaces

M. Congedo, J. Mattout, Alexandre Bleuzé, 2021, 2021 International Conference on Engineering and Emerging Technologies (ICEET).

Adaptive Methods in Machine Learning

Maureen Clerc, Jérémie Mattout, Emmanuel Daucé, 2016 .

A multi-thermogram-based Bayesian model for the determination of the thermal diffusivity of a material

Nicolas Fischer, Peter M. Harris, Jérémie Mattout, 2016 .

Simple deep neural networks show state-of-the-art performance in ERP-based BCI

Emmanuel Maby, Jérémie Mattout, Loic Delobel, 2019, GBCIC.

A generic framework for adaptive EEG-based BCI training and operation pdf

Jelena Mladenovic, Fabien Lotte, Jérémie Mattout, 2017, ArXiv.

BCI Could Make Old Two-Player Games Even More Fun: A Proof of Concept with "Connect Four"

Emmanuel Maby, Jérémie Mattout, Gaëtan Sanchez, 2012, Adv. Hum. Comput. Interact..

Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI

Fabien Lotte, Jeremie Mattout, Jelena Mladenovic, 2021, IEEE Transactions on Biomedical Engineering.

Exploring adaptive BCI methods to favour user learning and flow state

Fabien Lotte, Jérémie Mattout, Jelena Mladenović, 2017 .

EEG Neurofeedback research: a fertile ground for psychiatry?

D. Drapier, J. Mattout, R. Jardri, 2020 .

Action understanding and active inference

Karl J. Friston, J. Kilner, J. Mattout, 2011, Biological Cybernetics.

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

Karl J. Friston, C. Phillips, R. Henson, 2009, NeuroImage.

Dynamic causal modeling of evoked responses in EEG and MEG

Karl J. Friston, S. Kiebel, J. Kilner, 2006, NeuroImage.

Dynamic causal modelling of evoked responses in eeg/meg with lead-field parameterization. Under revision

S. Kiebel, L. Harrison, J. Mattout, 2005 .

Brain–Computer Interfaces Handbook Technological and Theoretical Advances

A. Nijholt, J. Mattout, F. Lotte, 2023 .

Chapter 32 Mind the Traps! Design Guidelines for Rigorous BCI Experiments.

S. Debener, J. Mattout, R. Scherer, 2017 .

Objective and Subjective Evaluation of Online Error Correction during P300-Based Spelling

Emmanuel Maby, Jérémie Mattout, Olivier Bertrand, 2012, Adv. Hum. Comput. Interact..

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

J.-M. Lina, J. Daunizeau, C. Grova, 2005, IEEE Transactions on Signal Processing.

0315 Inter- And Intra-expert Variability In Sleep Scoring: Comparison Between Visual And Automatic Analysis

Jacques Prado, Christophe Phillips, Christian Berthomier, 2018 .

Localization Estimation Algorithm (LEA): A Supervised Prior-Based Approach for Solving the EEG/MEG Inverse Problem

Jérémie Mattout, Jean Daunizeau, Habib Benali, 2003, Information Processing in Medical Imaging.

Better conditioning the MEG/EEG inverse problem: the multivariate source prelocalization approach

Jérémie Mattout, Jean Daunizeau, Habib Benali, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Data-driven cortex parcelling: a regularization tool for the EEG/MEG inverse problem

Jérémie Mattout, Jean Daunizeau, Habib Benali, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Statistical method for source localization in MEG/EEG tomographic reconstruction problem

Jérémie Mattout, Jean Daunizeau, Habib Benali, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Multivariate source localization approach for MEG/EEG inverse problem

H. Benali, L. Garnero, M. Pélégrini-Issac, 2001, NeuroImage.

Neurocomputational Underpinnings of Expected Surprise

J. Mattout, A. Caclin, F. Lecaignard, 2021, The Journal of Neuroscience.