Jean Daunizeau

发表

Population dynamics under the Laplace assumption

Karl J. Friston, Stefan J. Kiebel, André C. Marreiros, 2009, NeuroImage.

Optimizing Experimental Design for Comparing Models of Brain Function

Kerstin Preuschoff, Karl J. Friston, Klaas E. Stephan, 2011, PLoS Comput. Biol..

Dynamic causal modelling of COVID-19

Adeel Razi, Karl J. Friston, Guillaume Flandin, 2020, Wellcome open research.

Model selection and gobbledygook: Response to Lohmann et al.

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2013, NeuroImage.

Learning and Generalization under Ambiguity: An fMRI Study

Raymond J. Dolan, Karl J. Friston, Guillaume Flandin, 2012, PLoS Comput. Biol..

Generalised filtering and stochastic DCM for fMRI

Karl J. Friston, Dewen Hu, William D. Penny, 2011, NeuroImage.

Population dynamics: Variance and the sigmoid activation function

Karl J. Friston, Stefan J. Kiebel, André C. Marreiros, 2008, NeuroImage.

An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data

Jean Daunizeau, Quentin Feltgen, J. Daunizeau, 2020, bioRxiv.

An electrophysiological validation of stochastic DCM for fMRI

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2013 .

Bayesian model selection for group studies — Revisited

Karl J. Friston, Lionel Rigoux, Klaas E. Stephan, 2014, NeuroImage.

Evaluation of EEG localization methods using realistic simulations of interictal spikes

Jean Gotman, Jean Daunizeau, Habib Benali, 2006, NeuroImage.

Concepts of Connectivity and Human Epileptic Activity

Jean Daunizeau, Louis Lemieux, Matthew C. Walker, 2011, Front. Syst. Neurosci..

Inferring on the Intentions of Others by Hierarchical Bayesian Learning

Klaas E. Stephan, Lars Kasper, Jean Daunizeau, 2014, PLoS Comput. Biol..

Accurate Anisotropic Fast Marching for Diffusion-Based Geodesic Tractography

Jean Daunizeau, Roberto Toro, Habib Benali, 2007, Int. J. Biomed. Imaging.

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.

Frontiers in Neuroinformatics

Karl J. Friston, Stefan J. Kiebel, Jean Daunizeau, 2022 .

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

Jean Gotman, François Dubeau, Jean Daunizeau, 2008, NeuroImage.

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

Karl J. Friston, Stefan J. Kiebel, Christophe Phillips, 2008, NeuroImage.

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

Jean Daunizeau, Marie Devaine, Sébastien Bouret, 2017, PLoS Comput. Biol..

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

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2008, Neural Networks.

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

Joachim M. Buhmann, Cheng Soon Ong, Klaas E. Stephan, 2012, J. Mach. Learn. Res..

Sour grapes and sweet victories: How actions shape preferences

Mathias Pessiglione, Lionel Rigoux, Jean Daunizeau, 2019, PLoS Comput. Biol..

Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri

Karl J. Friston, Michael Breakspear, Klaas E. Stephan, 2022 .

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

Klaas E. Stephan, Jean Daunizeau, Olivier David, 2011, NeuroImage.

A Bayesian Foundation for Individual Learning Under Uncertainty

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2011, Front. Hum. Neurosci..

EEG and MEG Data Analysis in SPM8

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

DEM: A variational treatment of dynamic systems

Karl J. Friston, Nelson J. Trujillo-Barreto, Jean Daunizeau, 2008, NeuroImage.

Action and behavior: a free-energy formulation

Karl J. Friston, Stefan J. Kiebel, Jean Daunizeau, 2010, Biological Cybernetics.

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

Lionel Rigoux, Jean Daunizeau, Vincent Adam, 2014, PLoS Comput. Biol..

Multiple sparse priors for the M/EEG inverse problem

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

Network discovery with DCM

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2011, NeuroImage.

Modelling Trial-by-Trial Changes in the Mismatch Negativity

Karl J. Friston, Marta I. Garrido, Klaas E. Stephan, 2013, PLoS Comput. Biol..

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

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

Correction: Inferring on the Intentions of Others by Hierarchical Bayesian Learning

Klaas E. Stephan, Lars Kasper, Jean Daunizeau, 2014 .

Variational Bayesian modelling of mixed-effects pdf

Jean Daunizeau, J. Daunizeau, 2019, ArXiv.

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

Jean Daunizeau, Marie Devaine, J. Daunizeau, 2017, PLoS Comput. Biol..

Bayesian model selection for group studies

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2009, NeuroImage.

Variational Bayesian mixed-effects inference for classification studies

Joachim M. Buhmann, Klaas E. Stephan, Jean Daunizeau, 2013, NeuroImage.

Comparing Families of Dynamic Causal Models

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2010, PLoS Comput. Biol..

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).

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

Jérémie Mattout, Jean Daunizeau, Habib Benali, 2007, NeuroImage.

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

Jean Daunizeau, Guillaume Hollard, Marie Devaine, 2014, PLoS Comput. Biol..

Dynamic causal modelling of COVID-19.

Adeel Razi, Karl J. Friston, Guillaume Flandin, 2020, Wellcome open research.

Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging

Andreas Kleinschmidt, Jean Daunizeau, Helmut Laufs, 2008, NeuroImage.

Corrigendum to “Bayesian model selection for group studies” [NeuroImage 46 (2009) 1005–1017]

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2009, NeuroImage.

Uncertainty in perception and the Hierarchical Gaussian Filter

Karl J. Friston, Klaas E. Stephan, Sandra Iglesias, 2014, Front. Hum. Neurosci..

Computational neuroimaging strategies for single patient predictions

Karl J. Friston, Lionel Rigoux, Eduardo A. Aponte, 2017, NeuroImage.

Dynamic causal modelling of distributed electromagnetic responses

Karl J. Friston, Stefan J. Kiebel, Jean Daunizeau, 2009, NeuroImage.

Social behavioural adaptation in Autism

Jean Daunizeau, Marie Devaine, Baudouin Forgeot d'Arc, 2020, PLoS Comput. Biol..

Correction: A Neurocomputational Model of the Mismatch Negativity

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2013, PLoS Computational Biology.

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).

Ten simple rules for dynamic causal modeling

Karl J. Friston, William D. Penny, Klaas E. Stephan, 2010, NeuroImage.

Blaming blunders on the brain: can indifferent choices be driven by range adaptation or synaptic plasticity?

Jean Daunizeau, Jules Brochard, J. Daunizeau, 2020 .

Diffusion-based spatial priors for functional magnetic resonance images

Karl J. Friston, William D. Penny, Jean Daunizeau, 2008, NeuroImage.

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

Karl J. Friston, Klaas E. Stephan, Jean Daunizeau, 2012, NeuroImage.

A Hierarchy of Time-Scales and the Brain

Karl J. Friston, Stefan J. Kiebel, Jean Daunizeau, 2008, PLoS Comput. Biol..

Recognizing Sequences of Sequences

Karl J. Friston, Stefan J. Kiebel, Jean Daunizeau, 2009, PLoS Comput. Biol..

A Neurocomputational Model of the Mismatch Negativity

Karl J. Friston, Marta I. Garrido, Klaas E. Stephan, 2013, PLoS Comput. Biol..

A mesostate-space model for EEG and MEG

Karl J. Friston, Jean Daunizeau, J. Daunizeau, 2007, NeuroImage.

Effective connectivity: Influence, causality and biophysical modeling

Karl J. Friston, Jean Daunizeau, Alard Roebroeck, 2011, NeuroImage.

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

Jean Daunizeau, Louis Lemieux, Anna E. Vaudano, 2010, NeuroImage.

Bayesian inversion of EEG models

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

Assessing the concordance between EEG source localization and simultaneous EEG/fMRI studies

Jean Gotman, Jean Daunizeau, Andrew P. Bagshaw, 2005 .

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

Mathias Pessiglione, Lionel Rigoux, Jean Daunizeau, 2017, PLoS Comput. Biol..

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.

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).

a K.E. Stephan, a R.B. Reilly,

Karl J. Friston, Klaas E. Stephan, Stefan J. Kiebel, 2007 .

An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data

Jean Daunizeau, Quentin Feltgen, 2021, Frontiers in Artificial Intelligence.

Decision letter: Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience

Luigi Acerbi, Jean Daunizeau, 2021 .

Second waves, social distancing, and the spread of COVID-19 across the USA

Adeel Razi, Karl J. Friston, Guillaume Flandin, 2020, Wellcome open research.

Does the way we read others' mind change over the lifespan? Insights from a massive web poll of cognitive skills from childhood to late adulthood

Jean Daunizeau, David Klindt, Marie Devaine, 2017, Cortex.

Observing the Observer (II): Deciding When to Decide

Karl J. Friston, Klaas E. Stephan, Stefan J. Kiebel, 2010, PloS one.

Estimating required ‘lockdown’ cycles before immunity to SARS-CoV-2: model-based analyses of susceptible population sizes, ‘S0’, in seven European countries, including the UK and Ireland

Karl J. Friston, Federico E. Turkheimer, Jean Daunizeau, 2020 .

Your Goal Is Mine: Unraveling Mimetic Desires in the Human Brain

Mathias Pessiglione, Jean Daunizeau, Maël Lebreton, 2012, The Journal of Neuroscience.

Computational modeling of perceptual inference: A hierarchical Bayesian approach that allows for individual and contextual differences in weighting of input

Karl J. Friston, Klaas E. Stephan, Sandra Iglesias, 2012 .

Dynamic causal modeling of spontaneous fluctuations in skin conductance

Karl J. Friston, Jean Daunizeau, Karl J Friston, 2011, Psychophysiology.

Effective immunity and second waves: a dynamic causal modelling study.

Adeel Razi, Karl J. Friston, Guillaume Flandin, 2020, Wellcome open research.

The variational Laplace approach to approximate Bayesian inference

Jean Daunizeau, J. Daunizeau, 2017, 1703.02089.

Estimating required lockdown cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, S0, in seven European countries including the UK and Ireland

Karl J. Friston, Jean Daunizeau, Rosalyn J. Moran, 2020, medRxiv.

Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables

Jean Daunizeau, J. Daunizeau, 2017, 1703.00091.