- Journal of Neuroscience Methods 174 (2008) 5061 Contents lists available at ScienceDirect
- IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, VOL. XX, NO. Y, MONTH 1999 100 EEGbased communication: a pattern recognition
- Variational Bayes for d-dimensional Gaussian Mixture Models
- ICA: Model order selection and dynamic source models
- Variational Bayes for 1-dimensional Mixture Models
- Bayesian Analysis of fMRI data with Spatial Priors Will Penny and Guillaume Flandin
- Chapter 11: Hierarchical Models W. Penny and R. Henson
- Technical Note Variational free energy and the Laplace approximation
- BrainComputer Interfacing
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- UNCORRECTED Multivariate autoregressive modeling of fMRI time series
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- 78 Signal Processing Course, W.D. Penny, April 2000. 0 20 40 60 80 100
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- Hierarchical Dynamic Models
- Bayesian Model Bayes rule for
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- HUMAN NEUROSCIENCE Recent extensions to these ideas propose that the specific time
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- Oscillatory activity in the pedunculopontine area of patients with Parkinson's disease
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- Two Approaches to Repetition Suppression Uta Noppeney1,2* and Will D. Penny1
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- Information theory, novelty and hippocampal responses: unpredicted or unpredictable?
- Comparing dynamic causal models W.D. Penny,* K.E. Stephan, A. Mechelli, and K.J. Friston
- Biophysical models of fMRI responses Klaas E Stephan, Lee M Harrison, Will D Penny and Karl J Friston
- Event-related brain dynamics Will D. Penny, Stephan J. Kiebel, James M. Kilner and Mick D. Rugg
- Bayesian neural networks for classification: how useful is the evidence W.D. Penny1,*, S.J. Roberts
- Chapter 25: Spatio-temporal models for fMRI W. Penny, G. Flandin and N. Trujillo-Barreto
- Bayesian Treatments of Neuroimaging Data
- Chapter 12: Random Effects Analysis W.D. Penny and A.J. Holmes
- Chapter 24: Variational Bayes W. Penny, S. Kiebel and K. Friston
- Chapter 35: Bayesian model selection and averaging
- An Introduction to Random Field Theory Matthew Brett
- Classical and Bayesian inference Karl J Friston and Will Penny
- Wavelet smoothing of fMRI activation images Will Penny,
- Estimating the transfer function from neuronal activity to BOLD using simultaneous M.J. Rosa a,
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- Bayesian Comparison of Spatially Regularised General Linear Models
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- Computing the objective function in DCM Klaas Enno Stephan, Karl J. Friston & Will D. Penny
- Dynamic models for nonstationary signal segmentation
- Hidden Markov models with extended observation William D. Penny and Stephen J. Roberts
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- Robust Bayesian general linear models W.D. Penny, J. Kilner, and F. Blankenburg
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- VARIATIONAL BAYES FOR NON-GAUSSIAN AUTOREGRESSIVE MODELS
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- Chapter 26: Spatio-temporal models for EEG W. Penny, N. Trujillo-Barreto and E. Aubert
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- HIDDEN MARKOV INDEPENDENT COMPONENTS FOR BIOSIGNAL ANALYSIS William D. Penny 1 , Stephen J. Roberts 1 and Richard M. Everson 2
- Temporal and Spatial Complexity measures for EEGbased Brain Computer Interfacing
- AN ENSEMBLE LEARNING APPROACH TO INDEPENDENT COMPONENT ANALYSIS
- Empirical Evaluation of Bayesian Sampling for Neural Classifiers
- Chapter 40: Multivariate autoregressive models W. Penny and L. Harrison
- Approximate Information Theory
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- Technical Note Graph-partitioned spatial priors for functional magnetic resonance images
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- Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients
- Random-Effects Analysis W.D. Penny and A.J. Holmes
- Technical Note Post hoc Bayesian model selection
- Technical Note Comparing Dynamic Causal Models using AIC, BIC and Free Energy
- Bayesian Comparison of Neurovascular Coupling Models Using EEG-fMRI
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- ICA: Model order selection and dynamic source models
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