Publications about 'EM'

Articles in journal, book chapters

1. Dimitris Pinotsis, G. Perry, V. Litvak, K. Singh, and K.J. Friston. Intersubject variability of induced gamma in the visual cortex: DCM with empirical Bayes and neural fields. Human Brain Mapping, 2016. [doi:10.1002/hbm.23331] Keyword(s): DCM. [bibtex-entry]



2. K.H Brodersen, T.M. Schofield, A.P. Leff, C.S. Ong, E.I. Lomakina, J.M. Buhmann, and K.E. Stephan. Generative Embedding for Model-Based Classification of fMRI Data. PLOS Computational Biology, 7(6):e1002079, 2011. [PDF] [doi:10.1371/journal.pcbi.1002079] Keyword(s): DCM. [bibtex-entry]



3. R.N.A. Henson, D.G. Wakeman, V. Litvak, and K.J. Friston. A parametric empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multi-subject and multi-modal integration. Frontiers in Human Neuroscience, 5(76), 2011. [PDF] [doi:10.3389/fnhum.2011.00076] Keyword(s): EEG, MEG, Bayesian. [bibtex-entry]



4. R.N.A. Henson, G. Flandin, K.J. Friston, and J. Mattout. A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction. Human Brain Mapping, 31(10):1512-1531, 2010. [PDF] [doi:10.1002/hbm.20956] [bibtex-entry]



5. C. Phillips, J. Mattout, M.D. Rugg, P. Maquet, and K.J. Friston. An empirical Bayesian solution to the source reconstruction problem in EEG. NeuroImage, 24:997-1011, 2005. [doi:10.1016/j.neuroimage.2004.10.030] Keyword(s): EEG, bayesian. [bibtex-entry]



6. K.J. Friston and J. Ashburner. Generative and recognition models for neuroanatomy. NeuroImage, 23(1):21-24, 2004. [PDF] Keyword(s): spatial, Bayesian, EM. [bibtex-entry]



7. K.J. Friston and W.D. Penny. Posterior probability maps and SPMs. NeuroImage, 19(3):1240-1249, 2003. [PDF] Keyword(s): Bayesian, hierarchical, PPM, EM. [bibtex-entry]



8. W.D. Penny and K.J. Friston. Mixtures of General Linear Models for Functional Neuroimaging. IEEE Transactions on Medical Imaging, 22(4):504-514, 2003. [POSTSCRIPT] Keyword(s): Mixture, GLM, Bayesian, fMRI, spatial, EM. [bibtex-entry]



9. K.J. Friston, W.D. Penny, C. Phillips, S.J. Kiebel, G. Hinton, and J. Ashburner. Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage, 16:465-483, 2002. [PDF] Keyword(s): Bayesian, PPM, EM, REML. [bibtex-entry]

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