|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
|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
|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
|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 1 (3), 289-295, 2003
|The perception of articulated motion: recognizing moving light displays|
ROCHESTER UNIV NY DEPT OF COMPUTER SCIENCE, 1992
|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
|Sequence-to-point learning with neural networks for non-intrusive load monitoring|
C Zhang, M Zhong, Z Wang, N Goddard, C Sutton
Thirty-second AAAI conference on artificial intelligence, 2018
|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
|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
|Incremental model-based discrimination of articulated movement from motion features|
Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated …, 1994
|Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation|
M Zhong, N Goddard, C Sutton
Advances in Neural Information Processing Systems, 3590-3598, 2014
|A large-scale model of the cerebellar cortex using PGENESIS|
FW Howell, J Dyhrfjeld-Johnsen, R Maex, N Goddard, E De Schutter
Neurocomputing 32, 1041-1046, 2000
|The interpretation of visual motion: Recognizing moving light displays|
 Proceedings. Workshop on Visual Motion, 212-220, 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 (3), 295-318, 1997