| An information-maximization approach to blind separation and blind deconvolution AJ Bell, TJ Sejnowski Neural computation 7 (6), 1129-1159, 1995 | 12525 | 1995 |
| A learning algorithm for Boltzmann machines DH Ackley, GE Hinton, TJ Sejnowski Cognitive science 9 (1), 147-169, 1985 | 5921 | 1985 |
| Thalamocortical oscillations in the sleeping and aroused brain M Steriade, DA McCormick, TJ Sejnowski Science 262 (5134), 679-685, 1993 | 4315 | 1993 |
| Running enhances neurogenesis, learning, and long-term potentiation in mice H Van Praag, BR Christie, TJ Sejnowski, FH Gage Proceedings of the National Academy of Sciences 96 (23), 13427-13431, 1999 | 3923 | 1999 |
| Removing electroencephalographic artifacts by blind source separation TP Jung, S Makeig, C Humphries, TW Lee, MJ Mckeown, V Iragui, ... Psychophysiology 37 (2), 163-178, 2000 | 3882 | 2000 |
| The computational brain PS Churchland, TJ Sejnowski MIT press, 2016 | 3524 | 2016 |
| Face recognition by independent component analysis MS Bartlett, JR Movellan, TJ Sejnowski IEEE Transactions on neural networks 13 (6), 1450-1464, 2002 | 3001 | 2002 |
| The “independent components” of natural scenes are edge filters AJ Bell, TJ Sejnowski Vision research 37 (23), 3327-3338, 1997 | 2998 | 1997 |
| Independent component analysis of electroencephalographic data S Makeig, A Bell, TP Jung, TJ Sejnowski Advances in neural information processing systems 8, 1995 | 2970 | 1995 |
| Parallel networks that learn to pronounce English text TJ Sejnowski, CR Rosenberg Complex systems 1 (1), 145-168, 1987 | 2743 | 1987 |
| Analysis of fMRI data by blind separation into independent spatial components MJ McKeown, S Makeig, GG Brown, TP Jung, SS Kindermann, AJ Bell, ... Human brain mapping 6 (3), 160-188, 1998 | 2565 | 1998 |
| A framework for mesencephalic dopamine systems based on predictive Hebbian learning PR Montague, P Dayan, TJ Sejnowski Journal of neuroscience 16 (5), 1936-1947, 1996 | 2545 | 1996 |
| Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources TW Lee, M Girolami, TJ Sejnowski Neural computation 11 (2), 417-441, 1999 | 2543 | 1999 |
| Reliability of spike timing in neocortical neurons ZF Mainen, TJ Sejnowski Science 268 (5216), 1503-1506, 1995 | 2436 | 1995 |
| Learning and relearning in Boltzmann machines GE Hinton, TJ Sejnowski Parallel distributed processing: Explorations in the microstructure of …, 1986 | 2388 | 1986 |
| Dynamic brain sources of visual evoked responses S Makeig, M Westerfield, TP Jung, S Enghoff, J Townsend, E Courchesne, ... Science 295 (5555), 690-694, 2002 | 2003 | 2002 |
| Global epigenomic reconfiguration during mammalian brain development R Lister, EA Mukamel, JR Nery, M Urich, CA Puddifoot, ND Johnson, ... Science 341 (6146), 1237905, 2013 | 1973 | 2013 |
| Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis A Delorme, T Sejnowski, S Makeig Neuroimage 34 (4), 1443-1449, 2007 | 1937 | 2007 |
| Slow feature analysis: Unsupervised learning of invariances L Wiskott, TJ Sejnowski Neural computation 14 (4), 715-770, 2002 | 1756 | 2002 |
| Predicting the secondary structure of globular proteins using neural network models N Qian, TJ Sejnowski Journal of molecular biology 202 (4), 865-884, 1988 | 1714 | 1988 |
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoEmail verificata su cs.toronto.edu