Nigel Goddard
Nigel Goddard
Associate Professor, Informatics, University of Edinburgh
Verified email at
Cited by
Cited by
Sequence-to-point learning with neural networks for non-intrusive load monitoring
C Zhang, M Zhong, Z Wang, N Goddard, C Sutton
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Considerations arising from a complementary learning systems perspective on hippocampus and neocortex
JL McClelland, NH Goddard
Hippocampus 6 (6), 654-665, 1996
fMRI correlates of state and trait effects in subjects at genetically enhanced risk of schizophrenia
HC Whalley, E Simonotto, S Flett, I Marshall, KP Ebmeier, DGC Owens, ...
Brain 127 (3), 478-490, 2004
The functional anatomy of inspection time: an event-related fMRI study
IJ Deary, E Simonotto, M Meyer, A Marshall, I Marshall, N Goddard, ...
Neuroimage 22 (4), 1466-1479, 2004
Functional disconnectivity in subjects at high genetic risk of schizophrenia
HC Whalley, E Simonotto, I Marshall, DGC Owens, NH Goddard, ...
Brain 128 (9), 2097-2108, 2005
Towards NeuroML: model description methods for collaborative modelling in neuroscience
NH Goddard, M Hucka, F Howell, H Cornelis, K Shankar, D Beeman
Philosophical Transactions of the Royal Society of London. Series B …, 2001
Computing with structured neural networks
JA Feldman, MA Fanty, NH Goodard
Computer 21 (3), 91-103, 1988
Computing with structured connectionist networks
JA Feldman, MA Fanty, NH Goddard, KJ Lynne
Communications of the ACM 31 (2), 170-187, 1988
Rochester connectionist simulator
N Goddard, K Lynne, T Mintz, L Bukys
Functional imaging as a predictor of schizophrenia
HC Whalley, E Simonotto, W Moorhead, A McIntosh, I Marshall, ...
Biological psychiatry 60 (5), 454-462, 2006
Towards effective and rewarding data sharing
D Gardner, AW Toga, GA Ascoli, JT Beatty, JF Brinkley, AM Dale, PT Fox, ...
Neuroinformatics 3 (1), 289-295, 2003
Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation
M Zhong, N Goddard, C Sutton
Advances in Neural Information Processing Systems 27, 2014
The perception of articulated motion: recognizing moving light displays
N Goddard
Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience
SI Amari, F Beltrame, JG Bjaalie, T Dalkara, E De Schutter, GF Egan, ...
Journal of integrative neuroscience 1 (02), 117-128, 2002
Repeatability of motor and working-memory tasks in healthy older volunteers: assessment at functional MR imaging
I Marshall, E Simonotto, IJ Deary, A Maclullich, KP Ebmeier, EJ Rose, ...
Radiology 233 (3), 868-877, 2004
Incremental model-based discrimination of articulated movement from motion features
NH Goddard
Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated …, 1994
Latent Bayesian melding for integrating individual and population models
M Zhong, N Goddard, C Sutton
Advances in neural information processing systems 28, 2015
Event-related fMRI of word classification and successful word recognition in subjects at genetically enhanced risk of schizophrenia
MC Whyte, HC Whalley, E Simonotto, S Flett, R Shillcock, I Marshall, ...
Psychological medicine 36 (10), 1427-1439, 2006
The interpretation of visual motion: Recognizing moving light displays
NH Goddard
Proceedings Workshop on Visual Motion, 212,213,214,215,216,217,218,219,220 …, 1989
Online analysis of functional MRI datasets on parallel platforms
N Goddard, G Hood, J Cohen, W Eddy, C Genovese, D Noll, L Nystrom
The Journal of Supercomputing 11, 295-318, 1997
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