Jean Daunizeau

Frontiers Artif. Intell., 2021

2020

Social behavioural adaptation in Autism.

[BibT_eX]

[DOI]

Baudouin Forgeot d'Arc

Marie Devaine

PLoS Comput. Biol., 2020

2019

Sour grapes and sweet victories: How actions shape preferences.

[BibT_eX]

[DOI]

Sacha Bourgeois-Gironde

Mathias Pessiglione

PLoS Comput. Biol., 2019

Variational Bayesian modelling of mixed-effects.

[BibT_eX]

[DOI]

CoRR, 2019

2017

Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks.

[BibT_eX]

[DOI]

Alizée Lopez-Persem

Lionel Rigoux

Sacha Bourgeois-Gironde

Mathias Pessiglione

PLoS Comput. Biol., 2017

Reading wild minds: A computational assay of Theory of Mind sophistication across seven primate species.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2017

Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment.

[BibT_eX]

[DOI]

Marie Devaine

PLoS Comput. Biol., 2017

Computational neuroimaging strategies for single patient predictions.

[BibT_eX]

[DOI]

NeuroImage, 2017

2015

Dynamic causal modelling of brain-behaviour relationships.

[BibT_eX]

[DOI]

Lionel Rigoux

Andreea Oliviana Diaconescu

NeuroImage, 2015

2014

Inferring on the Intentions of Others by Hierarchical Bayesian Learning.

[BibT_eX]

[DOI]

Ekaterina I. Lomakina

Ernst Fehr

Klaas E. Stephan

PLoS Comput. Biol., 2014

The Social Bayesian Brain: Does Mentalizing Make a Difference When We Learn?

[BibT_eX]

[DOI]

Marie Devaine

Guillaume Hollard

PLoS Comput. Biol., 2014

VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data.

[BibT_eX]

[DOI]

Vincent Adam

Lionel Rigoux

PLoS Comput. Biol., 2014

Bayesian model selection for group studies - Revisited.

[BibT_eX]

[DOI]

NeuroImage, 2014

2013

A Neurocomputational Model of the Mismatch Negativity.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2013

Modelling Trial-by-Trial Changes in the Mismatch Negativity.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2013

Model selection and gobbledygook: Response to Lohmann et al.

[BibT_eX]

[DOI]

Klaas Enno Stephan

NeuroImage, 2013

Variational Bayesian mixed-effects inference for classification studies.

[BibT_eX]

[DOI]

NeuroImage, 2013

2012

Learning and Generalization under Ambiguity: An fMRI Study.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2012

Stochastic dynamic causal modelling of fMRI data: Should we care about neural noise?

[BibT_eX]

[DOI]

Klaas Enno Stephan

NeuroImage, 2012

Bayesian mixed-effects inference on classification performance in hierarchical data sets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

An electrophysiological validation of stochastic DCM for fMRI.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2012

2011

Optimizing Experimental Design for Comparing Models of Brain Function.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2011

Effective connectivity: Influence, causality and biophysical modeling.

[BibT_eX]

[DOI]

NeuroImage, 2011

Generalised filtering and stochastic DCM for fMRI.

[BibT_eX]

[DOI]

NeuroImage, 2011

Network discovery with DCM.

[BibT_eX]

[DOI]

NeuroImage, 2011

Dynamic causal modelling: A critical review of the biophysical and statistical foundations.

[BibT_eX]

[DOI]

Olivier David

Klaas E. Stephan

NeuroImage, 2011

EEG and MEG Data Analysis in SPM8.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2011

2010

Comparing Families of Dynamic Causal Models.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2010

Ten simple rules for dynamic causal modeling.

[BibT_eX]

[DOI]

Klaas Enno Stephan

Will D. Penny

Rosalyn J. Moran

Hanneke E. M. den Ouden

NeuroImage, 2010

Bayesian multi-modal model comparison: A case study on the generators of the spike and the wave in generalized spike-wave complexes.

[BibT_eX]

[DOI]

Anna E. Vaudano

Louis Lemieux

NeuroImage, 2010

Action and behavior: a free-energy formulation.

[BibT_eX]

[DOI]

Biol. Cybern., 2010

2009

Recognizing Sequences of Sequences.

[BibT_eX]

[DOI]

Katharina von Kriegstein

PLoS Comput. Biol., 2009

Bayesian model selection for group studies.

[BibT_eX]

[DOI]

NeuroImage, 2009

Corrigendum to "Bayesian model selection for group studies" [NeuroImage 46 (2009) 1005-1017].

[BibT_eX]

[DOI]

NeuroImage, 2009

Population dynamics under the Laplace assumption.

[BibT_eX]

[DOI]

NeuroImage, 2009

Dynamic causal modelling of distributed electromagnetic responses.

[BibT_eX]

[DOI]

NeuroImage, 2009

Perception and hierarchical dynamics.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2009

2008

A Hierarchy of Time-Scales and the Brain.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

Integrated Bayesian models of learning and decision making for saccadic eye movements.

[BibT_eX]

[DOI]

Neural Networks, 2008

Nonlinear dynamic causal models for fMRI.

[BibT_eX]

[DOI]

Hanneke E. M. den Ouden

Michael Breakspear

NeuroImage, 2008

Population dynamics: Variance and the sigmoid activation function.

[BibT_eX]

[DOI]

NeuroImage, 2008

Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging.

[BibT_eX]

[DOI]

NeuroImage, 2008

Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG.

[BibT_eX]

[DOI]

NeuroImage, 2008

Diffusion-based spatial priors for functional magnetic resonance images.

[BibT_eX]

[DOI]

NeuroImage, 2008

Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes.

[BibT_eX]

[DOI]

NeuroImage, 2008

DEM: A variational treatment of dynamic systems.

[BibT_eX]

[DOI]

Nelson J. Trujillo-Barreto

Nelson J. Trujillo-Barreto

NeuroImage, 2008

Multiple sparse priors for the M/EEG inverse problem.

[BibT_eX]

[DOI]

Richard N. Henson

Guillaume Flandin

NeuroImage, 2008

Accurate Anisotropic Fast Marching for Diffusion-Based Geodesic Tractography.

[BibT_eX]

[DOI]

Int. J. Biomed. Imaging, 2008

2007

A neural mass model of spectral responses in electrophysiology.

[BibT_eX]

[DOI]

NeuroImage, 2007

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

[BibT_eX]

[DOI]

Jean-Marc Lina

NeuroImage, 2007

A mesostate-space model for EEG and MEG.

[BibT_eX]

[DOI]

NeuroImage, 2007

2006

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2006

Evaluation of EEG localization methods using realistic simulations of interictal spikes.

[BibT_eX]

[DOI]

NeuroImage, 2006

2005

Conditional correlation as a measure of mediated interactivity in fMRI and MEG/EEG.

[BibT_eX]

[DOI]

Guillaume Marrelec

Julien Doyon

IEEE Trans. Signal Process., 2005

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

[BibT_eX]

[DOI]

Jean-Marc Lina

IEEE Trans. Signal Process., 2005

2004

Better Conditioning the MEG/EEG Inverse Problem: The Multivariate Source Prelocalization Approach.

[BibT_eX]

[DOI]

Line Garnero

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Data-Driven Cortex Parcelling: A Regularization Tool for the EEG/MEG Inverse Problem.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

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

[BibT_eX]

[DOI]

Anne Bellio

Proceedings of the Information Processing in Medical Imaging, 2003

2001

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

[BibT_eX]

[DOI]