William D. Penny

Publication Activity (10 Years)

Years Active: 1995-2018
Publications (10 Years): 6

Top Topics

Statistical Parametric Mapping

Dempster Shafer

Dynamical Model

Top Venues

Frontiers Neuroinformatics

J. Cogn. Neurosci.

Publications

Chiara Bulgarelli, Anna Blasi, Simon R. Arridge, Samuel Powell, Carina C. J. M. de Klerk, Victoria Southgate, Sabrina Brigadoi, William D. Penny, Sungho Tak, Antonia F. de C. Hamilton
Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. NeuroImage 175 (2018)
Peter Zeidman, Edward Harry Silson, Dietrich Samuel Schwarzkopf, Chris Ian Baker, William D. Penny
Bayesian population receptive field modelling. NeuroImage 180 (Part) (2018)
Gabriel Ziegler, Gerard R. Ridgway, Sarah-Jayne Blakemore, John Ashburner, William D. Penny
Multivariate dynamical modelling of structural change during development. NeuroImage 147 (2017)
José David López, Felipe Valencia, Guillaume Flandin, William D. Penny, Gareth R. Barnes
Reconstructing anatomy from electro-physiological data. NeuroImage 163 (2017)
Rachel Holland, Alex P. Leff, William D. Penny, John C. Rothwell, Jenny Crinion
Modulation of frontal effective connectivity during speech. NeuroImage 140 (2016)
Alessandro Tomassini, Diane Ruge, Joseph M. Galea, William D. Penny, Sven Bestmann
The Role of Dopamine in Temporal Uncertainty. J. Cogn. Neurosci. 28 (1) (2016)
Biswa Sengupta, Karl J. Friston, William D. Penny
Gradient-free MCMC methods for dynamic causal modelling. NeuroImage 112 (2015)
Sungho Tak, A. M. Kempny, Karl J. Friston, Alexander P. Leff, William D. Penny
Dynamic causal modelling for functional near-infrared spectroscopy. NeuroImage 111 (2015)
Gabriel Ziegler, William D. Penny, Gerard R. Ridgway, Sébastien Ourselin, Karl J. Friston
Estimating anatomical trajectories with Bayesian mixed-effects modeling. NeuroImage 121 (2015)
Claire M. Stevenson, Matthew J. Brookes, José David López, Luzia Troebinger, Jérémie Mattout, William D. Penny, Peter G. Morris, Arjan Hillebrand, Richard N. A. Henson, Gareth R. Barnes
Does function fit structure? A ground truth for non-invasive neuroimaging. NeuroImage 94 (2014)
Biswa Sengupta, Karl J. Friston, William D. Penny
Efficient gradient computation for dynamical models. NeuroImage 98 (2014)
Sukhbinder Kumar, William D. Penny
Estimating Neural Response Functions from fMRI. Frontiers Neuroinformatics 8 (2014)
José David López, William D. Penny, Jairo J. Espinosa, Gareth R. Barnes
Corrigendum to "A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty" [Neuroimge 60/2 (2012) 1194-1204]. NeuroImage 72 (2013)
Gerard R. Ridgway, Vladimir Litvak, Guillaume Flandin, Karl J. Friston, William D. Penny
The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'. NeuroImage 59 (3) (2012)
William D. Penny
Comparing Dynamic Causal Models using AIC, BIC and Free Energy. NeuroImage 59 (1) (2012)
José David López, William D. Penny, Jairo J. Espinosa, Gareth R. Barnes
A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty. NeuroImage 60 (2) (2012)
Vladimir Litvak, Jérémie Mattout, Stefan J. Kiebel, Christophe Phillips, Richard N. A. Henson, James Kilner, Gareth R. Barnes, Robert Oostenveld, Jean Daunizeau, Guillaume Flandin, William D. Penny, Karl J. Friston
EEG and MEG Data Analysis in SPM8. Comput. Intell. Neurosci. 2011 (2011)
Baojuan Li, Jean Daunizeau, Klaas E. Stephan, William D. Penny, Dewen Hu, Karl J. Friston
Generalised filtering and stochastic DCM for fMRI. NeuroImage 58 (2) (2011)
Vladimir Litvak, Alexandre Eusebio, Ashwani Jha, Robert Oostenveld, Gareth R. Barnes, William D. Penny, Ludvic U. Zrinzo, Marwan I. Hariz, Patricia Limousin, Karl J. Friston, Peter Brown
Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients. NeuroImage 50 (4) (2010)
Lee M. Harrison, William D. Penny, Jean Daunizeau, Karl J. Friston
Diffusion-based spatial priors for functional magnetic resonance images. NeuroImage 41 (2) (2008)
Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan
Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Networks 21 (9) (2008)
Lee M. Harrison, William D. Penny, Guillaume Flandin, Christian C. Ruff, Nikolaus Weiskopf, Karl J. Friston
Graph-partitioned spatial priors for functional magnetic resonance images. NeuroImage 43 (4) (2008)
Nelson J. Trujillo-Barreto, Eduardo Aubert-Vázquez, William D. Penny
Bayesian M/EEG source reconstruction with spatio-temporal priors. NeuroImage 39 (1) (2008)
Guillaume Flandin, William D. Penny
Bayesian fMRI data analysis with sparse spatial basis function priors. NeuroImage 34 (3) (2007)
Lee M. Harrison, William D. Penny, John Ashburner, Nelson J. Trujillo-Barreto, Karl J. Friston
Diffusion-based spatial priors for imaging. NeuroImage 38 (4) (2007)
Karl J. Friston, Jérémie Mattout, Nelson J. Trujillo-Barreto, John Ashburner, William D. Penny
Variational free energy and the Laplace approximation. NeuroImage 34 (1) (2007)
William D. Penny, Karl J. Friston
Functional imaging. Scholarpedia 2 (5) (2007)
Jérémie Mattout, Christophe Phillips, William D. Penny, Michael D. Rugg, Karl J. Friston
MEG source localization under multiple constraints: An extended Bayesian framework. NeuroImage 30 (3) (2006)
Bryan A. Strange, Andrew Duggins, William D. Penny, Raymond J. Dolan, Karl J. Friston
Information theory, novelty and hippocampal responses: unpredicted or unpredictable? Neural Networks 18 (3) (2005)
Karl J. Friston, William D. Penny, Daniel E. Glaser
Conjunction revisited. NeuroImage 25 (3) (2005)
William D. Penny, Nelson J. Trujillo-Barreto, Karl J. Friston
Bayesian fMRI time series analysis with spatial priors. NeuroImage 24 (2) (2005)
William D. Penny, Klaas E. Stephan, Andrea Mechelli, Karl J. Friston
Comparing dynamic causal models. NeuroImage 22 (3) (2004)
Karl J. Friston, William D. Penny
Posterior probability maps and SPMs. NeuroImage 19 (3) (2003)
Karl J. Friston, Lee M. Harrison, William D. Penny
Dynamic causal modelling. NeuroImage 19 (4) (2003)
Lee M. Harrison, William D. Penny, Karl J. Friston
Multivariate autoregressive modeling of fMRI time series. NeuroImage 19 (4) (2003)
William D. Penny, Stefan J. Kiebel, Karl J. Friston
Variational Bayesian inference for fMRI time series. NeuroImage 19 (3) (2003)
Darren R. Gitelman, William D. Penny, John Ashburner, Karl J. Friston
Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution. NeuroImage 19 (1) (2003)
William D. Penny, Karl J. Friston
Mixtures of General Linear Models for Functional Neuroimaging. IEEE Trans. Medical Imaging 22 (4) (2003)
Michael J. Cassidy, William D. Penny
Bayesian nonstationary autoregressive models for biomedical signal analysis. IEEE Trans. Biomed. Eng. 49 (10) (2002)
Karl J. Friston, William D. Penny, Christophe Phillips, Stefan J. Kiebel, G. Hinton, John Ashburner
Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage 16 (2) (2002)
Stephen J. Roberts, William D. Penny
Mixtures of Independent Component Analysers. ICANN (2001)
William D. Penny, Stephen J. Roberts
Bayesian neural networks for classification: how useful is the evidence framework? Neural Networks 12 (6) (1999)
Dirk Husmeier, William D. Penny, Stephen J. Roberts
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neural Networks 12 (4-5) (1999)
William D. Penny, Stephen J. Roberts
Dynamic Models for Nonstationary Signal Segmentation. Comput. Biomed. Res. 32 (6) (1999)
William D. Penny, Stephen J. Roberts
EEG-based communication via dynamic neural network models. IJCNN (1999)
William D. Penny, Stephen J. Roberts
Dynamic logistic regression. IJCNN (1999)
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny
Bayesian Approaches to Gaussian Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 20 (11) (1998)
William D. Penny, T. John Stonham
Generalization in multi-layer networks of Sigma-pi units. IEEE Trans. Neural Networks 6 (2) (1995)