Jean Daunizeau

Orcid: 0000-0001-9142-1270

According to our database1, Jean Daunizeau authored at least 61 papers between 2001 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2021
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data.
Frontiers Artif. Intell., 2021

2020


Social behavioural adaptation in Autism.
PLoS Comput. Biol., 2020

2019
Sour grapes and sweet victories: How actions shape preferences.
PLoS Comput. Biol., 2019

Variational Bayesian modelling of mixed-effects.
CoRR, 2019

2017
Choose, rate or squeeze: Comparison of economic value functions elicited by different behavioral tasks.
PLoS Comput. Biol., 2017

Reading wild minds: A computational assay of Theory of Mind sophistication across seven primate species.
PLoS Comput. Biol., 2017

Learning about and from others' prudence, impatience or laziness: The computational bases of attitude alignment.
PLoS Comput. Biol., 2017

Computational neuroimaging strategies for single patient predictions.
NeuroImage, 2017

2015
Dynamic causal modelling of brain-behaviour relationships.
NeuroImage, 2015

2014
Inferring on the Intentions of Others by Hierarchical Bayesian Learning.
PLoS Comput. Biol., 2014

The Social Bayesian Brain: Does Mentalizing Make a Difference When We Learn?
PLoS Comput. Biol., 2014

VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data.
PLoS Comput. Biol., 2014

Bayesian model selection for group studies - Revisited.
NeuroImage, 2014

2013
A Neurocomputational Model of the Mismatch Negativity.
PLoS Comput. Biol., 2013

Modelling Trial-by-Trial Changes in the Mismatch Negativity.
PLoS Comput. Biol., 2013

Model selection and gobbledygook: Response to Lohmann et al.
NeuroImage, 2013

Variational Bayesian mixed-effects inference for classification studies.
NeuroImage, 2013

2012
Learning and Generalization under Ambiguity: An fMRI Study.
PLoS Comput. Biol., 2012

Stochastic dynamic causal modelling of fMRI data: Should we care about neural noise?
NeuroImage, 2012

Bayesian mixed-effects inference on classification performance in hierarchical data sets.
J. Mach. Learn. Res., 2012

An electrophysiological validation of stochastic DCM for fMRI.
Frontiers Comput. Neurosci., 2012

2011
Optimizing Experimental Design for Comparing Models of Brain Function.
PLoS Comput. Biol., 2011

Effective connectivity: Influence, causality and biophysical modeling.
NeuroImage, 2011

Generalised filtering and stochastic DCM for fMRI.
NeuroImage, 2011

Network discovery with DCM.
NeuroImage, 2011

Dynamic causal modelling: A critical review of the biophysical and statistical foundations.
NeuroImage, 2011

EEG and MEG Data Analysis in SPM8.
Comput. Intell. Neurosci., 2011

2010
Comparing Families of Dynamic Causal Models.
PLoS Comput. Biol., 2010

Ten simple rules for dynamic causal modeling.
NeuroImage, 2010

Bayesian multi-modal model comparison: A case study on the generators of the spike and the wave in generalized spike-wave complexes.
NeuroImage, 2010

Action and behavior: a free-energy formulation.
Biol. Cybern., 2010

2009
Recognizing Sequences of Sequences.
PLoS Comput. Biol., 2009

Bayesian model selection for group studies.
NeuroImage, 2009

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

Population dynamics under the Laplace assumption.
NeuroImage, 2009

Dynamic causal modelling of distributed electromagnetic responses.
NeuroImage, 2009

Perception and hierarchical dynamics.
Frontiers Neuroinformatics, 2009

2008
A Hierarchy of Time-Scales and the Brain.
PLoS Comput. Biol., 2008

Integrated Bayesian models of learning and decision making for saccadic eye movements.
Neural Networks, 2008

Nonlinear dynamic causal models for fMRI.
NeuroImage, 2008

Population dynamics: Variance and the sigmoid activation function.
NeuroImage, 2008

Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging.
NeuroImage, 2008

Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG.
NeuroImage, 2008

Diffusion-based spatial priors for functional magnetic resonance images.
NeuroImage, 2008

Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes.
NeuroImage, 2008

DEM: A variational treatment of dynamic systems.
NeuroImage, 2008

Multiple sparse priors for the M/EEG inverse problem.
NeuroImage, 2008

Accurate Anisotropic Fast Marching for Diffusion-Based Geodesic Tractography.
Int. J. Biomed. Imaging, 2008

2007
A neural mass model of spectral responses in electrophysiology.
NeuroImage, 2007

Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework.
NeuroImage, 2007

A mesostate-space model for EEG and MEG.
NeuroImage, 2007

2006
Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models.
IEEE Trans. Biomed. Eng., 2006

Evaluation of EEG localization methods using realistic simulations of interictal spikes.
NeuroImage, 2006

2005
Conditional correlation as a measure of mediated interactivity in fMRI and MEG/EEG.
IEEE Trans. Signal Process., 2005

Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach.
IEEE Trans. Signal Process., 2005

2004
Better Conditioning the MEG/EEG Inverse Problem: The Multivariate Source Prelocalization Approach.
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.
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.
Proceedings of the Information Processing in Medical Imaging, 2003

2001
Statistical method for source localization in MEG/EEG tomographic reconstruction problem.
Proceedings of the 2001 International Conference on Image Processing, 2001


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