All publications sorted by

1. R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny. Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): introduction. [bibtex-entry]



2. A G Androulidakis, P Mazzone, V Litvak, W Penny, M Dileone, L M F Doyle Gaynor, S Tisch, V Di Lazzaro, and P Brown. Oscillatory activity in the pedunculopontine area of patients with Parkinson's disease.. Exp Neurol, 211(1):59-66, 2008. Keyword(s): EEG. [bibtex-entry]



3. K H Brodersen, W D Penny, L M Harrison, J Daunizeau, C C Ruff, E Duzel, K J Friston, and K E Stephan. Integrated Bayesian models of learning and decision making for saccadic eye movements.. Neural Netw, 21(9):1247-60, 2008. [bibtex-entry]



4. K Friston, C Chu, J Mourao-Miranda, O Hulme, G Rees, W Penny, and J Ashburner. Bayesian decoding of brain images.. Neuroimage, 39(1):181-205, 2008. [bibtex-entry]



5. K.J. Friston, C. Chu, Janaina Mourão-Miranda, Oliver Hulme, G. Rees, W.D. Penny, and J. Ashburner. Bayesian decoding of brain images. NeuroImage, 39(1):181-205, 2008. Keyword(s): Bayesian. [bibtex-entry]



6. 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. Keyword(s): fMRI, spatial, bayesian. [bibtex-entry]



7. L M Harrison, W Penny, J Daunizeau, and K J Friston. Diffusion-based spatial priors for functional magnetic resonance images.. Neuroimage, 41(2):408-23, 2008. Keyword(s): fMRI. [bibtex-entry]



8. L M Harrison, W Penny, G Flandin, C C Ruff, N Weiskopf, and K J Friston. Graph-partitioned spatial priors for functional magnetic resonance images.. Neuroimage, 43(4):694-707, 2008. Keyword(s): fMRI. [bibtex-entry]



9. L. Harrison, W.D. Penny, G. Flandin, C. Ruff, N. Weiskopf, and K.J. Friston. Sparse diffusion-based spatial models for functional magnetic resonance images. NeuroImage, 2008. Keyword(s): fMRI, spatial. [bibtex-entry]



10. W D Penny, E Duzel, K J Miller, and J G Ojemann. Testing for nested oscillation.. J Neurosci Methods, 174(1):50-61, 2008. Keyword(s): EEG. [bibtex-entry]



11. N Trujillo-Barreto, E Aubert-Vazquez, and W Penny. Bayesian M/EEG source reconstruction with spatio-temporal priors.. Neuroimage, 39(1):318-35, 2008. Keyword(s): EEG. [bibtex-entry]



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



13. K.J. Friston, J. Mattout, N. Trujillo-Bareto, J. Ashburner, and W.D. Penny. Variational free energy and the Laplace approximation. NeuroImage, 34(1):220-234, 2007. [bibtex-entry]



14. L. Harrison, W.D. Penny, J. Ashburner, N. Trujillo-Bareto, and K.J. Friston. Diffusion-based spatial priors for imaging. NeuroImage, 38:677-695, 2007. Keyword(s): fMRI, GLM, spatial. [bibtex-entry]



15. K.Friston, J. Mattout, N. Trujillo-Barreto, J. Ashburner, and W. Penny. Variational free energy and the Laplace approximation. Neuroimage, 34(1):220-234, 2007. Keyword(s): Bayes. [bibtex-entry]



16. W. D. Penny, G. Flandin, and N. Trujillo-Barreto. Bayesian comparison of spatially regularised general linear models. Human Brain Mapping, 28(4):275-293, 2007. Keyword(s): fMRI, GLM. [bibtex-entry]



17. W.D. Penny and K.J. Friston. Functional Imaging. Scholarpedia, 2(5):1478, 2007. Keyword(s): fMRI, EEG, MEG, introduction. [bibtex-entry]



18. W. D. Penny and K.J. Friston. Functional Imaging. Scholarpedia, 2(5):1478, 2007. Keyword(s): fMRI, EEG, MEG. [bibtex-entry]



19. W. D. Penny, J. Kilner, and F. Blankenburg. Robust Bayesian General Linear Models. Neuroimage, 36(3):661-671, 2007. Keyword(s): fMRI, GLM. [bibtex-entry]



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



21. K.E. Stephan, L. Harrison, S.J. Kiebel, O. David, W.D. Penny, and K.J. Friston. Dynamic causal models of neural system dynamics: current state and future extensions. Journal of Biosciences, pp 129-144, 2007. Keyword(s): DCM, fMRI. [bibtex-entry]



22. K.E. Stephan, L.M. Harrison, S.J. Kiebel, O. David, W.D. Penny, and K.J. Friston. Dynamic causal models of neural system dynamics: current state and future extensions. Journal of Biosciences, 32:411-416, 2007. Keyword(s): fMRI, Dynamic. [bibtex-entry]



23. K.E. Stephan, J.C. Marshall, W.D. Penny, K.J. Friston, and G.R. Fink. Interhemispheric integration of visual processing during task-driven lateralization. Journal of Neuroscience, 27:3512-3522, 2007. Keyword(s): DCM, fMRI. [bibtex-entry]



24. K.E. Stephan, J.C. Marshall, W. D. Penny, K.J. Friston, and G.R. Fink. Interhemispheric integration of visual processing during task-driven lateralization. Journal of Neuroscience, 32(1):129-144, 2007. Keyword(s): fMRI, DCM. [bibtex-entry]



25. W. Penny, G. Flandin, and N. Trujillo-Barreto. Spatio-temporal models for fMRI. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): fMRI, Spatial, GLM. [bibtex-entry]



26. W.D. Penny and K. J. Friston. Bayesian Treatments of Neuroimaging Data. In K. Doya and I. Naguno, editors, The Bayesian Brain. 2006. Keyword(s): fMRI, Dynamic. [bibtex-entry]



27. W. Penny and L. Harrison. Multivariate autoregressive models. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Dynamic, Autoregressive. [bibtex-entry]



28. W. Penny and R. Henson. Analysis of Variance. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): ANOVA. [bibtex-entry]



29. W. Penny and R. Henson. Hierarchical Models. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Hierarchical, Bayesian. [bibtex-entry]



30. W. Penny and A. Holmes. Random effects analysis. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): RFX. [bibtex-entry]



31. W. Penny, S. Kiebel, and K. Friston. Variational Bayes. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Variational, Bayesian. [bibtex-entry]



32. W. Penny, J. Mattout, and N. Trujillo-Barreto. Bayesian model selection and averaging. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): Bayesian, BMC, EEG. [bibtex-entry]



33. W. Penny, N. Trujillo-Barreto, and E. Aubert. Spatio-temporal models for EEG. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors, Statistical Parametric Mapping: The analysis of functional brain images. Elsevier, London, 2006. Keyword(s): EEG, Spatial, GLM. [bibtex-entry]



34. 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. Keyword(s): EEG, MEG. [bibtex-entry]



35. U. Noppeney and W.D. Penny. Two approaches to repetition suppression. Human Brain Mapping, 27:411-416, 2006. Keyword(s): fMRI. [bibtex-entry]



36. U. Noppeney and W. D. Penny. Two approaches to repetition suppression. Human Brain Mapping, 27:411-416, 2006. Keyword(s): fMRI, Mixture. [bibtex-entry]



37. U. Noppeney, W. D. Penny, C. J. Price, G. Flandin, and K. J. Friston. Identification of degenerate neuronal systems based on intersubject variability. Neuroimage, 30:885-890, 2006. Keyword(s): fMRI, Mixture. [bibtex-entry]



38. K.J. Friston, W.D. Penny, and O. David. Modelling brain responses. In M.F. Glabus, editor, International Review of Neurobiology, Neuroimaging, Part A. Elsevier, 2005. Keyword(s): Introduction. [bibtex-entry]



39. K.J. Friston, W.D. Penny, and D.E. Glaser. Conjunction revisited. NeuroImage, 25(3):661-667, 2005. Keyword(s): conjunction. [bibtex-entry]



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



41. W.D. Penny, Z. Ghahramani, and K.J. Friston. Bilinear Dynamical Systems. Phil Trans R Soc B, 360(1457):983-993, 2005. Keyword(s): Dynamic, Markov, fMRI. [bibtex-entry]



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



43. K.E. Stephan, W.D. Penny, J.C. Marshall, G.R. Fink, and K.J. Friston. Investigating the functional role of Callosal connections with Dynamic Causal Models. Ann. N.Y. Acad. Sci., 1064:16-36, 2005. Keyword(s): DCM. [bibtex-entry]



44. K.E. Stephan, W.D. Penny, J.C. Marshall, G.R. Fink, and K.J. Friston. Investigating the functional role of callosal connections by dynamic causal models. Annals of the New York Academy of Sciences, 1064:16-36, 2005. Keyword(s): DCM, fMRI. [bibtex-entry]



45. B. Strange, A. Duggins, W. Penny, R. Dolan, and K. Friston. Information theory, novelty and hippocampal responses: unpredicted or unpredictable ?. Neural Networks, 18:225-230, 2005. [bibtex-entry]



46. U.Noppeney, C.Price, W.Penny, and K.Friston. Two distinct neural mechanisms for category selective responses. Cerebral Cortex, 2005. Note: Accepted. Keyword(s): DCM. [bibtex-entry]



47. 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. Keyword(s): introduction. [bibtex-entry]



48. E. Curran, P. Sykacek, M.Stokes, S.J. Roberts, W. Penny, I. Johnsrude, and A.M. Owen. Cognitive Tasks for Driving a Brain Computer Interfacing System: A Pilot Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12(1):48-54, 2004. Keyword(s): BCI, EEG. [bibtex-entry]



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



50. W.D. Penny, K.E. Stephan, A. Mechelli, and K.J. Friston. Modelling Functional Integration: A Comparison of Structural Equation and Dynamic Causal and Models. NeuroImage, 23:264-274, 2004. Note: Supplement 1. Keyword(s): introduction, connectivity, DCM. [bibtex-entry]



51. N. Ramnani, T.E.J. Behrens, W.D. Penny, and P.M. Matthews. New approaches for exploring anatomic and functional connectivity in the human brain. Biological Psychiatry, 2004. Note: In Press. Keyword(s): introduction, DCM. [bibtex-entry]



52. K.E. Stephan, L. Harrison, W.D. Penny, and K.J. Friston. Biophysical models of fMRI responses. Current Opinion in Neurobiology, 14(5):629-635, 2004. [bibtex-entry]



53. M. Brett, W.D. Penny, and S.J. Kiebel. Introduction to Random field theory. 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. Keyword(s): introduction, RFT. [bibtex-entry]



54. 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. Keyword(s): Bayesian, fMRI, hierarchical, nonsphericity, PPM, REML. [bibtex-entry]



55. 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. Keyword(s): Bayesian, GLM, group, introduction, RFX, hierarchical. [bibtex-entry]



56. W.D. Penny, A.P. Holmes, and K.J. Friston. Random effects analysis. 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. Keyword(s): RFX, group, introduction. [bibtex-entry]



57. K.J. Friston, L. Harrison, and W.D. Penny. Dynamic Causal Modelling. NeuroImage, 19(4):1273-1302, 2003. Keyword(s): connectivity, fMRI, DCM. [bibtex-entry]



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



59. D.R. Gitelman, W.D. Penny, J. Ashburner, and K.J. Friston. Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution. NeuroImage, 19:200-207, 2003. Keyword(s): connectivity, fMRI, PPI. [bibtex-entry]



60. L. Harrison, W.D. Penny, and K.J. Friston. Multivariate Autoregressive Modelling of fMRI time series. NeuroImage, 19(4):1477-1491, 2003. [bibtex-entry]



61. 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. Keyword(s): Mixture, GLM, Bayesian, fMRI, spatial, EM. [bibtex-entry]



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



63. M.J. Cassidy and W.Penny. Bayesian nonstationary autogregressive models for biomedical signal analysis. IEEE Transactions on Biomedical Engineering, 49(10):1142-1152, 2002. Keyword(s): Variational, EEG, Autoregressive, Dynamic. [bibtex-entry]



64. 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. Keyword(s): Bayesian, PPM, EM, REML. [bibtex-entry]



65. A. Mechelli, W.D. Penny, C.J. Price, D.R. Gitelman, and K.J. Friston. Effective connectivity and intersubject variability: using a multisubject network to test differences and commonalities. NeuroImage, 17(3):1459-1469, 2002. Keyword(s): connectivity, group. [bibtex-entry]



66. W.D. Penny, S.J. Kiebel, J.M. Kilner, and M.D. Rugg. Event-related brain dynamics. Trends in Neuroscience, 25(8):387-389, 2002. Keyword(s): Dynamic, EEG. [bibtex-entry]



67. W.D. Penny and S.J. Roberts. Bayesian Multivariate Autoregresive Models with structured priors. IEE Proceedings on Vision, Image and Signal Processing, 149(1):33-41, 2002. Keyword(s): Variational, EEG, Autoregressive. [bibtex-entry]



68. S.J. Roberts and W.D. Penny. Variational Bayes for Generalised Autoregressive models. IEEE Transactions on Signal Processing, 50(9):2245-2257, 2002. Keyword(s): Variational, EEG, Autoregressive, Mixture. [bibtex-entry]



69. P.R.J. Barnes M.R. Johnson, C.D. Good, W.D. Penny and J.W. Scadding. Playing the odds in clinical decision making: lessons from berry aneuryisms undetected by magnetic resonance angiography. British Medical Journal, 322:1347-1349, 2001. Keyword(s): Introduction. [bibtex-entry]



70. S.J. Roberts W.D. Penny and R. Everson. ICA: Model-order selection and dynamic source models. In S.J. Roberts and R. Everson, editors, ICA: Principles and Practice, pages 299-314. Cambridge University Press, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



71. R. Everson W.D. Penny and S.J. Roberts. Hidden Markov Independent Component Analysis. In M. Giroliami, editor, Advances in Independent Component Analysis. Springer, 2000. Keyword(s): Markov, ICA, Dynamic. [bibtex-entry]



72. S.J. Roberts and W.D. Penny. Real-Time Brain-Computer Interfacing: A Preliminary Study Using Bayesian Learning. Medical and Biological Engineering and Computing, 38(1):56-61, 2000. Keyword(s): BCI, EEG. [bibtex-entry]



73. D. Husmeier W.D. Penny and S.J. Roberts. The Bayesian Paradigm: second generation neural computing. In P. Lisboa, editor, Artificial Neural Networks in Biomedicine. Springer-Verlag, 1999. Keyword(s): ANN. [bibtex-entry]



74. D. Husmeier, W.D. Penny, and S.J. Roberts. An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks, 12:677-705, 1999. Keyword(s): ANN. [bibtex-entry]



75. W.D. Penny and S.J. Roberts. Dynamic models for nonstationary signal segmentation. Computers and Biomedical Research, 32(6):483-502, 1999. Keyword(s): Markov, Dynamic, EEG. [bibtex-entry]



76. W.D. Penny, E. Curran S.J. Roberts, and M. Stokes. EEG-based communication: a pattern recognition approach. IEEE Transactions on Rehabilitation Engineering, 8(2), 1999. Keyword(s): BCI, EEG. [bibtex-entry]



77. W.D. Penny and S.J. Roberts. Bayesian neural networks for classification: how useful is the evidence framework ?. Neural Networks, 12:877-892, 1998. Keyword(s): ANN, BMC. [bibtex-entry]



78. S. J. Roberts, D. Husmeier, W. Penny, and I. Rezek. Bayesian Approaches to Gaussian Mixture Modelling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11):1133-1142, 1998. Keyword(s): Mixture, BMC. [bibtex-entry]



79. S.J. Roberts, W. Penny, and I. Rezek. Temporal and spatial complexity measures for EEG-based brain-computer interfacing. Medical and Biological Engineering and Computing, 37(1):93-99, 1998. Keyword(s): EEG, Complexity, BCI. [bibtex-entry]



80. W.D. Penny and D. Frost. Neural network modelling of the level of observation decision in an acute psychiatric ward. Computers and Biomedical Research, 30:1-17, 1997. Keyword(s): ANN. [bibtex-entry]



81. W.D. Penny and D. Frost. Modelling psychiatric decisions with linear regression and neural networks. In J. Taylor, editor, Neural Networks and Their Applications. John Wiley, 1996. Keyword(s): ANN. [bibtex-entry]



82. W.D. Penny and D. Frost. Neural networks in clinical medicine. Medical Decision Making, 16(4):386-398, 1996. Keyword(s): ANN. [bibtex-entry]



83. S. J. Roberts and W. D. Penny. A maximum certainty approach to feedforward neural networks. Electronics Letters, 33(4):306-307, 1996. Keyword(s): ANN. [bibtex-entry]



84. S.J. Roberts and W.D. Penny. Neural networks: friends or foes ?. Sensor Review, 17(1):64-70, 1996. Keyword(s): ANN. [bibtex-entry]



85. W.D. Penny and T.J. Stonham. Generalisation in multilayer sigma-pi networks. IEEE Transactions on Neural Networks, 6(2):506-508, 1995. Keyword(s): ANN. [bibtex-entry]



86. W.D. Penny and T.J.Stonham. Storage capacity of multilayer boolean neural networks. Electronics Letters, 29(15):1340-1341, 1993. Keyword(s): ANN. [bibtex-entry]



87. 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. Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]



88. 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]



89. S.J. Roberts and W.D. Penny. Mixtures of Independent Component Analysers. In Proceedings of ICANN, 2001. Keyword(s): Mixture, ICA. [bibtex-entry]



90. W.D. Penny and S.J. Roberts. Bayesian Methods for Autoregressive Models. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, Autoregressive. [bibtex-entry]



91. W.D. Penny and S.J. Roberts. Variational Bayes for Non-Gaussian Autoregressive Models. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, Autoregressive, Mixture. [bibtex-entry]



92. W.D. Penny R. Choudrey and S.J. Roberts. An Ensemble Learning Approach to Independent Component Analysis. In IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



93. R. Everson W.D. Penny and S.J. Roberts. Hidden Markov Independent Components for Biosignal Analysis. In Proceedings of MEDSIP-2000, International Conference on Advances in Medical Signal and Information Processing, IEE, 2000. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



94. S.J. Roberts W.D. Penny. Dynamic Logistic Regression. In Proceedings IJCNN'99, 1999. Keyword(s): ANN, Dynamic. [bibtex-entry]



95. S.J. Roberts W.D. Penny. EEG-based communiction via dynamic neural network models. In Proceedings IJCNN'99, 1999. Keyword(s): ANN, Dynamic, BCI. [bibtex-entry]



96. D. Husmeier W.D. Penny and S.J. Roberts. Covariance-based weighting for optimal combination of model predictions. In Proceedings ICANN'99, pages 826-831, 1999. Keyword(s): ANN, Dynamic. [bibtex-entry]



97. W.D. Penny D. Husmeier and S.J. Roberts. Empirical Evaluation of Bayesian Sampling for Neural Classifiers. In M.Boden L.Niklason and T.Ziemke, editors, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, 1998. Keyword(s): Variational, ICA, Mixture. [bibtex-entry]



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



99. K.E. Stephan, K.J. Friston, and W.D. Penny. Computing the objective function in DCM. Technical report, Wellcome Department of Imaging Neuroscience, ION, UCL, 2005. Keyword(s): DCM. [bibtex-entry]



100. R.N.A. Henson and W.D. Penny. ANOVAs and SPM. Technical report, Wellcome Department of Imaging Neuroscience, 2003. Keyword(s): ANOVA. [bibtex-entry]



101. W.D. Penny. Wavelet smoothing of fMRI activation images. Technical report, Wellcome Department of Imaging Neuroscience, ION, UCL, 2002. Keyword(s): fMRI, spatial. [bibtex-entry]



102. W.D. Penny. Kullback-Liebler Divergences of Normal, Gamma, Dirichlet and Wishart Densities. Technical report, Wellcome Department of Cognitive Neurology, 2001. Keyword(s): Variational. [bibtex-entry]



103. W.D. Penny. Statistical Parametric Mapping: an annotated bibliography. Technical report, Wellcome Department of Imaging Neuroscience, ION, UCL, 2001. Keyword(s): introduction. [bibtex-entry]



104. W.D. Penny. The Normal, Chi^2, t and F Probability Distributions. Technical report, Wellcome Department of Cognitive Neurology, 2001. Keyword(s): ANOVA, Introduction. [bibtex-entry]



105. W.D. Penny. Variational Bayes for d-dimensional Gaussian mixture models. Technical report, Wellcome Department of Cognitive Neurology, University College London, 2001. Keyword(s): Variational, Mixture. [bibtex-entry]



106. W.D. Penny and S.J. Roberts. Notes on Variational Learning. Technical report, Department of Engineering Science, Oxford University, 2001. Keyword(s): Variational. [bibtex-entry]



107. W.D. Penny and S.J. Roberts. Variational Bayes for 1-dimensional mixture models. Technical report, Department of Engineering Science, Oxford University, 2000. Keyword(s): Variational, Mixture. [bibtex-entry]



108. W.D. Penny and S.J. Roberts. Dynamic Linear Models, Recursive Least Squares and Steepest Descent Learning. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): Markov, Dynamic. [bibtex-entry]



109. W.D. Penny and S.J. Roberts. Error bars for linear and nonlinear neural network regression models. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): ANN. [bibtex-entry]



110. W.D. Penny and S.J. Roberts. Gaussian Observation Hidden Markov Models for EEG analysis. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): Markov, EEG. [bibtex-entry]



111. W.D. Penny and S.J. Roberts. Hidden Markov Models with Extended Observation Densities. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. [bibtex-entry]



112. W.D. Penny, S.J. Roberts, and M.J. Stokes. Imagined hand movements identified from the EEG mu-rhythm. Technical report, Department of Electrical Engineering, Imperial College, London, 1998. Keyword(s): BCI, EEG. [bibtex-entry]



113. W.D. Penny and S.J. Roberts. Bayesian neural networks for detection of imagined finger movements from single-trial EEG. Technical report, Department of Electrical Engineering, Imperial College, London, 1997. Keyword(s): BCI, EEG. [bibtex-entry]

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