By members and collaborators of the Wellcome Centre for Human Neuroimaging


Publications about 'Bayesian'


  1. C. Phillips. Source estimation in EEG. PhD thesis, University de Liege, Belgium, 2000. [PDF] Keyword(s): EEG, MEG, Bayesian. [bibtex-entry]

Articles in journal, book chapters

  1. Dimitris Pinotsis, R. Loonis, A. Bastos, E.K. Miller, and K.J. Friston. Bayesian modelling of induced responses and neuronal rhythms. Brain Topography, 2016. [doi:10.1007/s10548-016-0526-y] [bibtex-entry]

  2. D.A. Pinotsis and K.J. Friston. Neural Fields, Masses and Bayesian Inference. Springer Mathematical Neuroscience Series, 2014. [doi:10.1007/978-3-642-54593-1_17] [bibtex-entry]

  3. L. Rigoux, K.E. Stephan, K.J. Friston, and J. Daunizeau. Bayesian model selection for group studies -- Revisited. NeuroImage, 84:971-985, 2014. [WWW] [doi:10.1016/j.neuroimage.2013.08.065] [bibtex-entry]

  4. 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]

  5. M.J. Rosa, J. Kilner, and W.D. Penny. Bayesian Comparison of Neurovascular Coupling Models Using EEG-fMRI. PLOS Computational Biology, 7(6):e1002070, 2011. [doi:10.1371/journal.pcbi.1002070] Keyword(s): BMC. [bibtex-entry]

  6. J. Daunizeau, A.E. Vaudano, and L. Lemieux. Bayesian multi-modal model comparison: A case study on the generators of the spike and the wave in generalized spike-wave complexes. NeuroImage, 49(1):656-667, 2010. [doi:10.1016/j.neuroimage.2009.06.048] [bibtex-entry]

  7. J. Daunizeau, H.E.M den Ouden, M. Pessiglione, S.J. Kiebel, K.J. Friston, and K.E. Stephan. Observing the observer (II): deciding when to decide. Plos One, 5(12):e15555, 2010. [PDF] [doi:10.1371/journal.pone.0015555] Keyword(s): Bayesian. [bibtex-entry]

  8. J. Daunizeau, H.E.M den Ouden, M. Pessiglione, K.E. Stephan, S.J. Kiebel, and K.J. Friston. Observing the observer (I): meta-Bayesian models of learning and decision-making. Plos One, 5(12):e15554, 2010. [PDF] [doi:10.1371/journal.pone.0015554] Keyword(s): Bayesian. [bibtex-entry]

  9. 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]

  10. J. Daunizeau, K.J. Friston, and S.J. Kiebel. Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models. Physica D: nonlinear phenomena, 238(21):2089-2118, 2009. [doi:10.1016/j.physd.2009.08.002] [bibtex-entry]

  11. M.J. Rosa, S. Bestmann, L. Harrison, and W.D. Penny. Bayesian Model Selection Maps for Group Studies. NeuroImage, 49(1):217-224, 2009. [doi:10.1016/j.neuroimage.2009.08.051] [bibtex-entry]

  12. K.E. Stephan, W.D. Penny, J. Daunizeau, R. Moran, and K.J. Friston. Bayesian model selection for group studies. NeuroImage, 46(3):1004-10174, 2009. [PDF] [doi:10.1016/j.neuroimage.2009.03.025] Keyword(s): DCM, BMC, Bayesian, group. [bibtex-entry]

  13. K.J. Friston, C. Chu, Janaina Mour�-Miranda, Oliver Hulme, G. Rees, W.D. Penny, and J. Ashburner. Bayesian decoding of brain images. NeuroImage, 39(1):181-205, 2008. [doi:10.1016/j.neuroimage.2007.08.013] Keyword(s): Bayesian, multivariate. [bibtex-entry]

  14. L. Harrison, W.D. Penny, J. Daunizeau, and K.J. Friston. Diffusion-based spatial priors for functional magnetic resonance images. NeuroImage, 41(2):408-423, 2008. [doi:10.1016/j.neuroimage.2008.02.005] Keyword(s): fMRI, spatial, bayesian. [bibtex-entry]

  15. S.J. Kiebel, J. Daunizeau, C. Phillips, and K.J. Friston. Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG. NeuroImage, 39(2):728-741, 2008. [doi:10.1016/j.neuroimage.2007.09.005] [bibtex-entry]

  16. R. Moran, S.J. Kiebel, N. Rombach, W.T. O'Connor, K.J. Murphy, R.B. Reilly, and K.J. Friston. Bayesian estimation of synaptic physiology from the spectral responses of neural masses. NeuroImage, 42(1):272-284, 2008. [PDF] [doi:10.1016/j.neuroimage.2008.01.025] Keyword(s): Bayesian. [bibtex-entry]

  17. G. Flandin and W.D. Penny. Bayesian fMRI data analysis with sparse spatial basis function priors. NeuroImage, 34(3):1108-1125, 2007. [PDF] [doi:10.1016/j.neuroimage.2006.10.005] Keyword(s): PPM, Bayesian, fMRI, GLM, spatial, hierarchical. [bibtex-entry]

  18. W.D. Penny, J. Kilner, and F. Blankenburg. Robust Bayesian General Linear Models. NeuroImage, 36(3):661-671, 2007. [doi:10.1016/j.neuroimage.2007.01.058] Keyword(s): GLM. [bibtex-entry]

  19. K.E. Stephan, N. Weiskopf, P.M. Drysdale, P.A. Robinson, and K.J. Friston. Comparing hemodynamic models with DCM. NeuroImage, 38:387-401, 2007. [PDF] [doi:10.1016/j.neuroimage.2007.07.040] Keyword(s): DCM, bayesian. [bibtex-entry]

  20. J. Mattout, C. Phillips, W.D. Penny, M. Rugg, and K.J. Friston. MEG source localization under multiple constraints: an extended Bayesian framework. NeuroImage, 30(3):753-767, 2006. [PDF] [doi:10.1016/j.neuroimage.2005.10.037] Keyword(s): EEG, MEG. [bibtex-entry]

  21. J. Ashburner and K.J. Friston. Unified segmentation. NeuroImage, 26:839-851, 2005. [doi:doi:10.1016/j.neuroimage.2005.02.018] Keyword(s): spatial, VBM, Bayesian, registration, normalisation, MRI, segment. [bibtex-entry]

  22. K.J. Friston, R.N.A. Henson, C. Phillips, and J. Mattout. Bayesian estimation of evoked and induced responses. Human Brain Mapping, 27:722-735, 2005. [doi:10.1002/hbm.20214] Keyword(s): EEG, MEG. [bibtex-entry]

  23. W.D. Penny, G. Flandin, and N. Trujillo-Bareto. Bayesian Comparison of Spatially Regularised General Linear Models. Human Brain Mapping, 28:275-293, 2005. [PDF] [doi:doi:10.1002/hbm.20327] Keyword(s): Bayesian, fMRI, PPM, GLM. [bibtex-entry]

  24. W.D. Penny, N. Trujillo-Bareto, and K.J. Friston. Bayesian fMRI time series analysis with spatial priors. NeuroImage, 24(2):350-362, 2005. [PDF] [doi:10.1016/j.neuroimage.2004.08.034] Keyword(s): Spatial, fMRI. [bibtex-entry]

  25. 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]

  26. 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]

  27. W.D. Penny, K.E. Stephan, A. Mechelli, and K.J. Friston. Comparing Dynamic Causal Models. NeuroImage, 22(3):1157-1172, 2004. [PDF] Keyword(s): Bayesian, connectivity, fMRI, DCM, BMC. [bibtex-entry]

  28. W.D. Penny and K.J. Friston. Classical and Bayesian Iinference in fMRI. In L. Landini, editor, Advanced Image Processing in Magnetic Resonance Imaging. Marcel Dekker, 2004. [PDF] Keyword(s): introduction. [bibtex-entry]

  29. 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]

  30. 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]

  31. W.D. Penny, S.J. Kiebel, and K.J. Friston. Variational Bayesian Inference for fMRI time series. NeuroImage, 19(3):727-741, 2003. [PDF] Keyword(s): autocorrelation, Bayesian, fMRI, PPM. [bibtex-entry]

  32. K.J. Friston. Dynamic Causal Models. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. [PDF] Keyword(s): connectivity, dynamical, Bayesian, DCM. [bibtex-entry]

  33. W.D. Penny and K.J. Friston. Classical and Bayesian inference. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. [PDF] Keyword(s): Bayesian, fMRI, hierarchical, nonsphericity, PPM, REML. [bibtex-entry]

  34. W.D. Penny, A.P. Holmes, and K.J. Friston. Hierarchical Models. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. [PDF] Keyword(s): Bayesian, GLM, group, introduction, RFX, hierarchical. [bibtex-entry]

  35. K.J. Friston. Bayesian Estimation of Dynamical Systems: An Application to fMRI. NeuroImage, 16:513-530, 2002. [PDF] Keyword(s): dynamical, Bayesian, fMRI. [bibtex-entry]

  36. K.J. Friston, D.E. Glaser, R.N.A. Henson, S.J. Kiebel, C. Phillips, and J. Ashburner. Classical and Bayesian Inference in Neuroimaging: Applications. NeuroImage, 16:484-512, 2002. [PDF] Keyword(s): Bayesian, fMRI, PPM. [bibtex-entry]

  37. 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]

  38. J. Ashburner, J. Andersson, and K.J. Friston. Image Registration using a Symmetric Prior - in Three-Dimensions. Human Brain Mapping, 9(4):212-225, 2000. Keyword(s): spatial, Bayesian, registration, MRI. [bibtex-entry]

  39. J. Ashburner, J. Andersson, and K.J. Friston. High-Dimensional Nonlinear Image Registration using Symmetric Priors. NeuroImage, 9:619-628, 1999. [PDF] Keyword(s): spatial, nonlinear, Bayesian, registration, MRI. [bibtex-entry]

  40. J. Ashburner, P. Neelin, D. L. Collins, A. C. Evans, and K.J. Friston. Incorporating Prior Knowledge into Image Registration. NeuroImage, 6:344-352, 1997. [PDF] Keyword(s): Bayesian, spatial, registration, MRI. [bibtex-entry]

Conference articles

  1. W.D. Penny and G. Flandin. Bayesian analysis of fMRI data with spatial priors. In Proceedings of the Joint Statistical Meeting (JSM), Section on Statistical Graphics [CDROM], 2005. Note: Alexandria, VA: American Statistical Association.[PDF] Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]

  2. K.J. Friston and W.D. Penny. Bayesian Inference and Posterior Probability Maps. In Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), pages 413-417, 2002. Keyword(s): PPM. [bibtex-entry]

Internal reports

  1. W.D. Penny and G. Flandin. Bayesian analysis of single-subject fMRI: SPM implementation. Technical report, Wellcome Department of Imaging Neuroscience, 2005. [PDF] Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]



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Last modified: Sun Apr 12 15:44:56 2020
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