Internal reports

2005

1. 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]



2. 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]

2003

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

2002

1. 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]

2001

1. 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]



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



3. 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]



4. 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]



5. 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]

2000

1. 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]

1998

1. 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]



2. 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]



3. 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]



4. 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]



5. 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]

1997

1. 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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