| 2008 |
| 8 | EE | Kay H. 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): 1247-1260 (2008) |
| 2007 |
| 7 | EE | William D. Penny,
Karl J. Friston:
Functional imaging.
Scholarpedia 2(5): 1478 (2007) |
| 2005 |
| 6 | EE | 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): 225-230 (2005) |
| 2003 |
| 5 | | William D. Penny,
Karl J. Friston:
Mixtures of General Linear Models for Functional Neuroimaging.
IEEE Trans. Med. Imaging 22(4): 504-514 (2003) |
| 2001 |
| 4 | EE | Stephen J. Roberts,
William D. Penny:
Mixtures of Independent Component Analysers.
ICANN 2001: 527-534 |
| 1999 |
| 3 | EE | 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): 677-705 (1999) |
| 2 | EE | William D. Penny,
Stephen J. Roberts:
Bayesian neural networks for classification: how useful is the evidence framework?
Neural Networks 12(6): 877-892 (1999) |
| 1998 |
| 1 | EE | Stephen J. Roberts,
Dirk Husmeier,
Iead Rezek,
William D. Penny:
Bayesian Approaches to Gaussian Mixture Modeling.
IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1133-1142 (1998) |