By members and collaborators of the Functional Imaging Laboratory


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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Last modified: Wed Nov 22 15:33:42 2023
Author: spm.

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