Projects per year
Personal profile
Biography
Will Penny is a Brain Imaging researcher with expertise in the analysis of fMRI, EEG and MEG data. He uses Bayesian Inference, Dynamical Systems, and Statistical Machine Learning both to develop new methods for neuroimaging data analysis and as models of human cognition. Will joined UEA in 2017. Click here for personal website.
Career
Will Penny has a BEng in Electrical Engineering from Nottingham University (1988), an MSc in Communication Engineering from Imperial College (1989) and a PhD in Artificial Neural Networks from Brunel University (1993). He then worked as a postdoc in the departments of Psychiatry at UCL (1994-1996), Electrical Enginnering at Imperial (1996-1999), and Information Engineering at Oxford (1999-2000) before working at the Wellcome Trust Centre for Human Neuroimaging at UCL as a statistician (2000), Senior Lecturer (2006), Reader (2011) and Professor (2014).
Network
Projects
- 1 Active
-
University of East Anglia Brain Imaging Centre
Penny, W., Coventry, K., Hornberger, M., Pomeroy, V. & Spencer, J.
21/08/19 → 20/08/24
Project: Research
Research output
- 81 Article
-
An introduction to thermodynamic integration and application to dynamic causal models
Aponte, E. A., Yao, Y., Raman, S., Frässle, S., Heinzle, J., Penny, W. D. & Stephan, K. E., Feb 2022, In: Cognitive Neurodynamics. 16, p. 1–15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Dynamics of cortical degeneration over a decade in Huntington’s disease
Johnson, E. B., Ziegler, G., Penny, W., Rees, G., Tabrizi, S. J., Scahill, R. I. & Gregory, S., 15 Apr 2021, In: Biological Psychiatry. 89, 8, p. 807-816 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)21 Downloads (Pure) -
How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory
Buss, A. T., Magnotta, V., Penny, W. D., Schöner, G., Huppert, T. & Spencer, J., Mar 2021, In: Psychological Review. 128, 2, p. 362–395 34 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)24 Downloads (Pure) -
Learning words in space and time: Contrasting models of the suspicious coincidence effect
Jenkins, G. W., Samuelson, L., Penny, W. D. & Spencer, J., May 2021, In: Cognition. 210, 104576.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)7 Downloads (Pure) -
Multitask learning over shared subspaces
Menghi, N., Kacar, K. & Penny, W., 6 Jul 2021, In: PLoS Computational Biology. 17, 7, e1009092.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)18 Downloads (Pure)