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J Daunizeau

Showing results (1-10 of 18) with videos related to

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Frontiers in Artificial Intelligence|April 26, 2021
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial DataQ Feltgen, J Daunizeau
Neuroimage|May 27, 2015
Dynamic causal modelling of brain-behaviour relationshipsL Rigoux, J Daunizeau
Neuroimage|December 8, 2009
Dynamic causal modelling: a critical review of the biophysical and statistical foundationsJ Daunizeau, O David, K E Stephan
Journal of Integrative Neuroscience|January 8, 2011
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approachesM J Rosa, J Daunizeau, K J Friston
Physica D. Nonlinear Phenomena|October 29, 2009
Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal modelsJ Daunizeau, K J Friston, S J Kiebel
Neuroimage|May 15, 2012
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?J Daunizeau, K E Stephan, K J Friston
Neuroimage|April 25, 2008
DEM: a variational treatment of dynamic systemsK J Friston, N Trujillo-Barreto, J Daunizeau
Neuroimage|January 19, 2008
Recent advances in recording electrophysiological data simultaneously with magnetic resonance imagingH Laufs, J Daunizeau, D W Carmichael, et al.
Neuroimage|September 11, 2013
Bayesian model selection for group studies - revisitedL Rigoux, K E Stephan, K J Friston, et al.
Neuroimage|April 5, 2008
Diffusion-based spatial priors for functional magnetic resonance imagesL M Harrison, W Penny, J Daunizeau, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Frontiers in Artificial Intelligence|April 26, 2021
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial DataQ Feltgen, J Daunizeau
Neuroimage|May 27, 2015
Dynamic causal modelling of brain-behaviour relationshipsL Rigoux, J Daunizeau
Neuroimage|December 8, 2009
Dynamic causal modelling: a critical review of the biophysical and statistical foundationsJ Daunizeau, O David, K E Stephan
Journal of Integrative Neuroscience|January 8, 2011
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approachesM J Rosa, J Daunizeau, K J Friston
Physica D. Nonlinear Phenomena|October 29, 2009
Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal modelsJ Daunizeau, K J Friston, S J Kiebel
Neuroimage|May 15, 2012
Stochastic dynamic causal modelling of fMRI data: should we care about neural noise?J Daunizeau, K E Stephan, K J Friston
Neuroimage|April 25, 2008
DEM: a variational treatment of dynamic systemsK J Friston, N Trujillo-Barreto, J Daunizeau
Neuroimage|January 19, 2008
Recent advances in recording electrophysiological data simultaneously with magnetic resonance imagingH Laufs, J Daunizeau, D W Carmichael, et al.
Neuroimage|September 11, 2013
Bayesian model selection for group studies - revisitedL Rigoux, K E Stephan, K J Friston, et al.
Neuroimage|April 5, 2008
Diffusion-based spatial priors for functional magnetic resonance imagesL M Harrison, W Penny, J Daunizeau, et al.
Pageof 2