William D. Penny

According to our database1, William D. Penny authored at least 76 papers between 1995 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Retrospective Inference as a Form of Bounded Rationality, and Its Beneficial Influence on Learning.
Frontiers Artif. Intell., 2020

Prefrontal Dynamics Associated with Efficient Detours and Shortcuts: A Combined Functional Magnetic Resonance Imaging and Magnetoencenphalography Study.
J. Cogn. Neurosci., 2019

Bayesian population receptive field modelling.
NeuroImage, 2018

Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.
NeuroImage, 2018

Multivariate dynamical modelling of structural change during development.
NeuroImage, 2017

Reconstructing anatomy from electro-physiological data.
NeuroImage, 2017

Annealed Importance Sampling for Neural Mass Models.
PLoS Comput. Biol., 2016

Gradient-based MCMC samplers for dynamic causal modelling.
NeuroImage, 2016

Causal evidence that intrinsic beta-frequency is relevant for enhanced signal propagation in the motor system as shown through rhythmic TMS.
NeuroImage, 2016

Modulation of frontal effective connectivity during speech.
NeuroImage, 2016

The Role of Dopamine in Temporal Uncertainty.
J. Cogn. Neurosci., 2016

Behavioral Modeling of Human Choices Reveals Dissociable Effects of Physical Effort and Temporal Delay on Reward Devaluation.
PLoS Comput. Biol., 2015

Estimating anatomical trajectories with Bayesian mixed-effects modeling.
NeuroImage, 2015

Dynamic causal modelling for functional near-infrared spectroscopy.
NeuroImage, 2015

Gradient-free MCMC methods for dynamic causal modelling.
NeuroImage, 2015

Imaging Analysis, Bayesian.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Does function fit structure? A ground truth for non-invasive neuroimaging.
NeuroImage, 2014

Efficient gradient computation for dynamical models.
NeuroImage, 2014

Transcranial electrical brain stimulation modulates neuronal tuning curves in perception of numerosity and duration.
NeuroImage, 2014

Estimating Neural Response Functions from fMRI.
Frontiers Neuroinformatics, 2014

A Dynamic Bayesian Model of Homeostatic Control.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Simultaneous Localisation and Planning.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

Forward and Backward Inference in Spatial Cognition.
PLoS Comput. Biol., 2013

Corrigendum to "A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty" [Neuroimge 60/2 (2012) 1194-1204].
NeuroImage, 2013

Cortical surface reconstruction based on MEG data and spherical harmonics.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A dynamical pattern recognition model of gamma activity in auditory cortex.
Neural Networks, 2012

The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'.
NeuroImage, 2012

Comparing Dynamic Causal Models using AIC, BIC and Free Energy.
NeuroImage, 2012

A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty.
NeuroImage, 2012

Age-related changes in causal interactions between cortical motor regions during hand grip.
NeuroImage, 2012

Bayesian Comparison of Neurovascular Coupling Models Using EEG-fMRI.
PLoS Comput. Biol., 2011

Generalised filtering and stochastic DCM for fMRI.
NeuroImage, 2011

Post hoc Bayesian model selection.
NeuroImage, 2011

EEG and MEG Data Analysis in SPM8.
Comput. Intell. Neurosci., 2011

Comparing Families of Dynamic Causal Models.
PLoS Comput. Biol., 2010

Ten simple rules for dynamic causal modeling.
NeuroImage, 2010

Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI.
NeuroImage, 2010

Bayesian model selection maps for group studies.
NeuroImage, 2010

Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients.
NeuroImage, 2010

Bayesian model selection for group studies.
NeuroImage, 2009

Corrigendum to "Bayesian model selection for group studies" [NeuroImage 46 (2009) 1005-1017].
NeuroImage, 2009

Integrated Bayesian models of learning and decision making for saccadic eye movements.
Neural Networks, 2008

Bayesian M/EEG source reconstruction with spatio-temporal priors.
NeuroImage, 2008

Graph-partitioned spatial priors for functional magnetic resonance images.
NeuroImage, 2008

Diffusion-based spatial priors for functional magnetic resonance images.
NeuroImage, 2008

Bayesian decoding of brain images.
NeuroImage, 2008

Functional imaging.
Scholarpedia, 2007

Robust Bayesian general linear models.
NeuroImage, 2007

Diffusion-based spatial priors for imaging.
NeuroImage, 2007

Variational free energy and the Laplace approximation.
NeuroImage, 2007

Bayesian fMRI data analysis with sparse spatial basis function priors.
NeuroImage, 2007

Identification of degenerate neuronal systems based on intersubject variability.
NeuroImage, 2006

MEG source localization under multiple constraints: An extended Bayesian framework.
NeuroImage, 2006

Information theory, novelty and hippocampal responses: unpredicted or unpredictable?
Neural Networks, 2005

Bayesian fMRI time series analysis with spatial priors.
NeuroImage, 2005

Conjunction revisited.
NeuroImage, 2005

Comparing dynamic causal models.
NeuroImage, 2004

Mixtures of General Linear Models for Functional Neuroimaging.
IEEE Trans. Medical Imaging, 2003

Variational Bayesian inference for fMRI time series.
NeuroImage, 2003

Multivariate autoregressive modeling of fMRI time series.
NeuroImage, 2003

Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution.
NeuroImage, 2003

Posterior probability maps and SPMs.
NeuroImage, 2003

Dynamic causal modelling.
NeuroImage, 2003

Variational Bayes for generalized autoregressive models.
IEEE Trans. Signal Process., 2002

Bayesian nonstationary autoregressive models for biomedical signal analysis.
IEEE Trans. Biomed. Eng., 2002

Effective Connectivity and Intersubject Variability: Using a Multisubject Network to Test Differences and Commonalities.
NeuroImage, 2002

Classical and Bayesian Inference in Neuroimaging: Theory.
NeuroImage, 2002

Mixtures of Independent Component Analysers.
Proceedings of the Artificial Neural Networks, 2001

The Bayesian Paradigm: Second Generation Neural Computing.
Proceedings of the Artificial Neural Networks in Biomedicine, 2000

Bayesian neural networks for classification: how useful is the evidence framework?
Neural Networks, 1999

An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers.
Neural Networks, 1999

Dynamic Models for Nonstationary Signal Segmentation.
Comput. Biomed. Res., 1999

EEG-based communication via dynamic neural network models.
Proceedings of the International Joint Conference Neural Networks, 1999

Dynamic logistic regression.
Proceedings of the International Joint Conference Neural Networks, 1999

Bayesian Approaches to Gaussian Mixture Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Generalization in multi-layer networks of Sigma-pi units.
IEEE Trans. Neural Networks, 1995