Journal Articles
2007, 2006, 2005, 2004, 2003, 2002, <=2001
2012
W. Penny (2012).
Bayesian models of Brain and Behaviour.
ISRN Biomathematics Volume 2012, Article ID 785791, doi:10.5402/2012/785791
T. Schofield and W. Penny and K. Stephan and J. Crinion and A. Thompson and C. Price and A. Leff (2012).
Changes in auditory feedback connections determine the severity of speech processing deficits after stroke.
Journal of Neuroscience 32(12):4260-4270.
M. Rosa and K. Friston and W. Penny (2012).
Post-hoc selection of dynamic causal models.
Journal of Neuroscience Methods Available online 3 May.
A. Jafarpour and A. Horner and L. Fuentemilla and W. Penny and E. Duzel (2012).
Decoding oscillatory representations and mechanisms in memory.
Neuropsychologia Available online 4 May.
J.D. Lopez and W. Penny and J. Espinosa and G. Barnes (2012).
A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty.
Neuroimage 60:1194-1204.
M Zavaglia and R Canolty and T Schofield and A Leff and M Ursino and R Knight and W. Penny (2012).
A dynamical pattern recognition model of gamma activity in auditory cortex.
Neural Networks 28:1-14.
2011
M-H Boudrias and C. Goncalves and W. Penny and C-H Park and H. Rossiter and P. Talleli and N. Ward(2011).
Age-related changes in causal interactions between cortical motor regions during hand grip.
Neuroimage Available online 18 November 2011.
G. Ridgway and V. Litvak and G. Flandn and K. Friston and W. Penny (2011).
The problem of low variance voxels in statistical parametric mapping: a new hat avoids a haircut.
Neuroimage Available online 17 October 2011.
W. Penny (2011).
Comparing Dynamic Causal Models using AIC, BIC and Free Energy.
Neuroimage Available online 27 July 2011.
M. Rosa, J Kilner and W. Penny (2011).
Bayesian comparison of neurovascular coupling models using EEG-fMRI.
PLoS Computational Biology 7(6) e1002070.
L. Harrison, S Bestmann, M. Rosa, W. Penny and G. Green (2011).
Time scales of representation in the human brain: weighing past information to predict future events.
Frontiers in Human Neuroscience, 5, 00037.
Friston K, Penny W. (2011)
Post hoc Bayesian model selection.
Neuroimage. 56(4), 2089-2099.
Bach DR, Hulme O, Penny WD, Dolan RJ. (2011)
The known unknowns: neural representation of second-order uncertainty, and ambiguity.
J Neurosci. 2011 Mar 30;31(13):4811-20.
Litvak V, Mattout J, Kiebel S, Phillips C, Henson R, Kilner J, Barnes G, Oost-
enveld R, Daunizeau J, Flandin G, Penny W, Friston K. (2011)
EEG and MEG data
analysis in SPM8.
Comput Intell Neurosci:852961.
2010
L. Fuentemilla, W Penny, N Cashdollar, N Bunzeck and E. Duzel.
Theta-Coupled Periodic Replay in Working Memory.
Current Biology,
April 13 2010, 20, 1-7.
Supplementary
Material:
W Penny, K Stephan, J. Daunizeau, M. Rosa, K. Frsiton, T. Schofield and
A Leff.
Comparing Families of Dynamic Causal Models.
PLoS Computational Biology,
Mar 2010, 6(3), e1000709.
E Duzel,
W Penny and
N Burgess.
Brain oscillations and memory.
Curent Opin Neurobiol,
Feb 22 2010, Epub ahead of print.
K Stephan,
W Penny,
R Moran,
H den Ouden,
J Daunizeau and
K Friston.
Ten simple rules for dynamic causal modeling.
Neuroimage,
Feb 15 2010, 49(4):3099-109.
M Rosa,
J. Kilner,
F. Blankenburg,
O. Josephs and
W. Penny.
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI.
Neuroimage,
Jan 15, 2010; 49(4):1496-509.
M Rosa,
S.Bestmann,
L. Harrison, and
W Penny.
Bayesian model selection maps for group studies.
Neuroimage,
Jan 1 2010; 49(1):217-24.
V Litvak, A Eusebio, A Jha, R Oostenveld, G Barnes, W Penny, L Zrinzo, M Hariz, P Limousin, K Friston, P Brown.
Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients.
Neuroimage,
Jan 4 2010; Epub ahead of print.
2009
K Stephan,
W Penny,
J Daunizeau,
R Moran and
K Friston.
Bayesian model selection for group studies.
Neuroimage,
46(4):1004-17.
W Penny,
V Litvak,
L Fuentemilla,
E Duzel,
and K Friston.
Dynamic Causal Models for Phase Coupling.
J Neurosci Methods,
183(1):19-30,
2009.
2008
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.
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.
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.
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.
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.
W D Penny,
E Duzel,
K J Miller,
and J G Ojemann.
Testing for nested oscillation.
.
J Neurosci Methods,
174(1):50-61,
2008.
N Trujillo-Barreto,
E Aubert-Vazquez,
and W Penny.
Bayesian M/EEG source reconstruction with spatio-temporal priors.
.
Neuroimage,
39(1):318-35,
2008.
G. Flandin and W.D. Penny.
Bayesian fMRI data analysis with sparse spatial basis function priors.
NeuroImage,
34(3):1108-1125,
2007.
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.
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.
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.
W. D. Penny and K.J. Friston.
Functional Imaging.
Scholarpedia,
2(5):1478,
2007.
W. D. Penny,
J. Kilner,
and F. Blankenburg.
Robust Bayesian General Linear Models.
Neuroimage,
36(3):661-671,
2007.
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.
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.
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.
U. Noppeney and W. D. Penny.
Two approaches to repetition suppression.
Human Brain Mapping,
27:411-416,
2006.
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.
U.Noppeney,
C.Price,
W.Penny,
and K.Friston.
Two distinct neural mechanisms for category selective responses.
Cerebral Cortex,
16(3):437-445,2006.
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.
K.J. Friston,
W.D. Penny,
and D.E. Glaser.
Conjunction revisited.
NeuroImage,
25(3):661-667,
2005.
W.D. Penny,
Z. Ghahramani,
and K.J. Friston.
Bilinear Dynamical Systems.
Phil Trans R Soc B,
360(1457):983-993,
2005.
W.D. Penny,
N. Trujillo-Bareto,
and K.J. Friston.
Bayesian fMRI time series analysis with spatial priors.
NeuroImage,
24(2):350-362,
2005.
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.
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.
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.
W.D. Penny,
K.E. Stephan,
A. Mechelli,
and K.J. Friston.
Comparing Dynamic Causal Models.
NeuroImage,
22(3):1157-1172,
2004.
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.
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, 56(9), 613-619.
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.
K.J. Friston,
L. Harrison,
and W.D. Penny.
Dynamic Causal Modelling.
NeuroImage,
19(4):1273-1302,
2003.
K.J. Friston and W.D. Penny.
Posterior probability maps and SPMs.
NeuroImage,
19(3):1240-1249,
2003.
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.
L. Harrison,
W.D. Penny,
and K.J. Friston.
Multivariate Autoregressive Modelling of fMRI time series.
NeuroImage,
19(4):1477-1491,
2003.
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.
W.D. Penny,
S.J. Kiebel,
and K.J. Friston.
Variational Bayesian Inference for fMRI time series.
NeuroImage,
19(3):727-741,
2003.
M.J. Cassidy and W.Penny.
Bayesian nonstationary autogregressive models for biomedical signal analysis.
IEEE Transactions on Biomedical Engineering,
49(10):1142-1152,
2002.
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.
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.
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.
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.
S.J. Roberts and W.D. Penny.
Variational Bayes for Generalised Autoregressive models.
IEEE Transactions on Signal Processing,
50(9):2245-2257,
2002.
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.
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.
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.
W.D. Penny and S.J. Roberts.
Dynamic models for nonstationary signal segmentation.
Computers and Biomedical Research,
32(6):483-502,
1999.
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.
W.D. Penny and S.J. Roberts.
Bayesian neural networks for classification: how useful is the evidence framework ?
Neural Networks,
12:877-892,
1998.
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.
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.
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.
W.D. Penny and D. Frost.
Neural networks in clinical medicine.
Medical Decision Making,
16(4):386-398,
1996.
S. J. Roberts and W. D. Penny.
A maximum certainty approach to feedforward neural networks.
Electronics Letters,
33(4):306-307,
1996.
S.J. Roberts and W.D. Penny.
Neural networks: friends or foes ?.
Sensor Review,
17(1):64-70,
1996.
W.D. Penny and T.J. Stonham.
Generalisation in multilayer sigma-pi networks.
IEEE Transactions on Neural Networks,
6(2):506-508,
1995.
W.D. Penny and T.J.Stonham.
Storage capacity of multilayer boolean neural networks.
Electronics Letters,
29(15):1340-1341,
1993.
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