| 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 | 576 | 2018 |
| Considerations arising from a complementary learning systems perspective on hippocampus and neocortex JL McClelland, NH Goddard Hippocampus 6 (6), 654-665, 1996 | 369 | 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 | 194 | 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 | 190 | 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 | 183 | 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 | 183 | 2001 |
| Computing with structured neural networks JA Feldman, MA Fanty, NH Goodard Computer 21 (3), 91-103, 1988 | 173 | 1988 |
| Computing with structured connectionist networks JA Feldman, MA Fanty, NH Goddard, KJ Lynne Communications of the ACM 31 (2), 170-187, 1988 | 168 | 1988 |
| Rochester connectionist simulator N Goddard, K Lynne, T Mintz, L Bukys | 140 | 1989 |
| Functional imaging as a predictor of schizophrenia HC Whalley, E Simonotto, W Moorhead, A McIntosh, I Marshall, ... Biological psychiatry 60 (5), 454-462, 2006 | 119 | 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 | 107 | 2003 |
| The perception of articulated motion: recognizing moving light displays N Goddard | 103 | 1992 |
| 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 | 102 | 2014 |
| 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 | 102 | 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 | 60 | 2004 |
| Latent Bayesian melding for integrating individual and population models M Zhong, N Goddard, C Sutton Advances in neural information processing systems 28, 2015 | 52 | 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 | 52 | 2006 |
| 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 | 51 | 1994 |
| The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes M Pullinger, J Kilgour, N Goddard, N Berliner, L Webb, M Dzikovska, ... Scientific Data 8 (1), 146, 2021 | 47 | 2021 |
| 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 | 42 | 1997 |
