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W D Penny
S J Roberts
E A Curran
M J Stokes

Showing results (1-10 of 197) with videos related to

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IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 15, 2000
EEG-based communication: a pattern recognition approachW D Penny, S J Roberts, E A Curran, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Bayesian neural networks for classification: how useful is the evidence framework?W D. Penny, S J. Roberts
Computers and Biomedical Research, an International Journal|December 10, 1999
Dynamic models for nonstationary signal segmentationW D Penny, S J Roberts
Medical & Biological Engineering & Computing|June 1, 2000
Real-time brain-computer interfacing: a preliminary study using Bayesian learningS J Roberts, W D Penny
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiersD Husmeier, W D. Penny, S J. Roberts
Medical Engineering & Physics|March 16, 2000
Classification of normal and pathological tremors using a multidimensional electromagnetic systemJ M Spyers-Ashby, M J Stokes, P G Bain, et al.
Neuroimage|August 26, 2011
Comparing dynamic causal models using AIC, BIC and free energyW D Penny
Computers and Biomedical Research, an International Journal|February 1, 1997
Neural network modeling of the level of observation decision in an acute psychiatric wardW D Penny, D P Frost
IEEE Transactions on Neural Networks|January 1, 1995
Generalization in multi-layer networks of Sigma-pi unitsW D Penny, T J Stonham
Neuroimage|September 2, 2003
Multivariate autoregressive modeling of fMRI time seriesL Harrison, W D Penny, K Friston
Pageof 20

Showing results (1-10 of 197) with videos related to

Sort By:
Pageof 20
IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 15, 2000
EEG-based communication: a pattern recognition approachW D Penny, S J Roberts, E A Curran, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Bayesian neural networks for classification: how useful is the evidence framework?W D. Penny, S J. Roberts
Computers and Biomedical Research, an International Journal|December 10, 1999
Dynamic models for nonstationary signal segmentationW D Penny, S J Roberts
Medical & Biological Engineering & Computing|June 1, 2000
Real-time brain-computer interfacing: a preliminary study using Bayesian learningS J Roberts, W D Penny
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiersD Husmeier, W D. Penny, S J. Roberts
Medical Engineering & Physics|March 16, 2000
Classification of normal and pathological tremors using a multidimensional electromagnetic systemJ M Spyers-Ashby, M J Stokes, P G Bain, et al.
Neuroimage|August 26, 2011
Comparing dynamic causal models using AIC, BIC and free energyW D Penny
Computers and Biomedical Research, an International Journal|February 1, 1997
Neural network modeling of the level of observation decision in an acute psychiatric wardW D Penny, D P Frost
IEEE Transactions on Neural Networks|January 1, 1995
Generalization in multi-layer networks of Sigma-pi unitsW D Penny, T J Stonham
Neuroimage|September 2, 2003
Multivariate autoregressive modeling of fMRI time seriesL Harrison, W D Penny, K Friston
Pageof 20