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Terrence Sejnowski
Terrence Sejnowski
Francis Crick Professor, Salk Institute, Distingished Professor, UC San Diego
Verified email at salk.edu - Homepage
Title
Cited by
Cited by
Year
An information-maximization approach to blind separation and blind deconvolution
AJ Bell, TJ Sejnowski
Neural computation 7 (6), 1129-1159, 1995
125421995
A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
59381985
Thalamocortical oscillations in the sleeping and aroused brain
M Steriade, DA McCormick, TJ Sejnowski
Science 262 (5134), 679-685, 1993
43161993
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
39221999
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
38882000
The computational brain
PS Churchland, TJ Sejnowski
MIT press, 2016
35242016
The “independent components” of natural scenes are edge filters
AJ Bell, TJ Sejnowski
Vision research 37 (23), 3327-3338, 1997
30011997
Face recognition by independent component analysis
MS Bartlett, JR Movellan, TJ Sejnowski
IEEE Transactions on neural networks 13 (6), 1450-1464, 2002
30002002
Independent component analysis of electroencephalographic data
S Makeig, A Bell, TP Jung, TJ Sejnowski
Advances in neural information processing systems 8, 1995
29741995
Parallel networks that learn to pronounce English text
TJ Sejnowski, CR Rosenberg
Complex systems 1 (1), 145-168, 1987
27441987
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
25701998
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
25461999
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
25461996
Reliability of spike timing in neocortical neurons
ZF Mainen, TJ Sejnowski
Science 268 (5216), 1503-1506, 1995
24411995
Learning and relearning in Boltzmann machines
GE Hinton, TJ Sejnowski
Parallel distributed processing: Explorations in the microstructure of …, 1986
23921986
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
20062002
Global epigenomic reconfiguration during mammalian brain development
R Lister, EA Mukamel, JR Nery, M Urich, CA Puddifoot, ND Johnson, ...
Science 341 (6146), 1237905, 2013
19782013
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
19412007
Slow feature analysis: Unsupervised learning of invariances
L Wiskott, TJ Sejnowski
Neural computation 14 (4), 715-770, 2002
17592002
Predicting the secondary structure of globular proteins using neural network models
N Qian, TJ Sejnowski
Journal of molecular biology 202 (4), 865-884, 1988
17161988
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