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IEEE Transactions on Medical Imaging|May 31, 2003
Mixtures of general linear models for functional neuroimagingWill Penny, Karl Friston
Neuroimage|April 5, 2011
Post hoc Bayesian model selectionKarl Friston, Will Penny
Neuroimage|July 26, 2003
Variational Bayesian inference for fMRI time seriesWill Penny, Stefan Kiebel, Karl Friston
Neuroimage|October 24, 2006
Variational free energy and the Laplace approximationKarl Friston, Jérémie Mattout, Nelson Trujillo-Barreto, et al.
Neuroimage|February 12, 2011
Generalised filtering and stochastic DCM for fMRIBaojuan Li, Jean Daunizeau, Klaas E Stephan, et al.
Neuroimage|October 9, 2007
Bayesian decoding of brain imagesKarl Friston, Carlton Chu, Janaina Mourão-Miranda, et al.
Trends in Cognitive Sciences|June 30, 2009
The free-energy principle: a rough guide to the brain?Karl Friston
Annual Review of Neuroscience|June 8, 2002
Beyond phrenology: what can neuroimaging tell us about distributed circuitry?Karl Friston
Neural Networks : the Official Journal of the International Neural Network Society|November 19, 2003
Learning and inference in the brainKarl Friston
Cognitive Processing|July 31, 2012
Embodied inference and spatial cognitionKarl Friston
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