Terrence Sejnowski
Terrence Sejnowski
Francis Crick Professor, Salk Institute, Distingished Professor, UC San Diego
Email verificata su salk.edu - Home page
Citata da
Citata da
An information-maximization approach to blind separation and blind deconvolution
AJ Bell, TJ Sejnowski
Neural computation 7 (6), 1129-1159, 1995
A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
Thalamocortical oscillations in the sleeping and aroused brain
M Steriade, DA McCormick, TJ Sejnowski
Science 262 (5134), 679-685, 1993
Hierarchical mixtures of experts and the EM algorithm
MI Jordan, RA Jacobs
Neural computation 6 (2), 181-214, 1994
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
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
The computational brain
PS Churchland, TJ Sejnowski
MIT press, 1994
Face recognition by independent component analysis
MS Bartlett, JR Movellan, TJ Sejnowski
IEEE Transactions on neural networks 13 (6), 1450-1464, 2002
The “independent components” of natural scenes are edge filters
AJ Bell, TJ Sejnowski
Vision research 37 (23), 3327-3338, 1997
Parallel networks that learn to pronounce English text
TJ Sejnowski, CR Rosenberg
Complex systems 1 (1), 145-168, 1987
Learning machines.
NJ Nilsson
New York, 1965
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
Independent component analysis of electroencephalographic data
S Makeig, AJ Bell, TP Jung, TJ Sejnowski
Advances in neural information processing systems, 145-151, 1996
Learning in graphical models
MI Jordan
Springer Science & Business Media, 1998
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
Reliability of spike timing in neocortical neurons
ZF Mainen, TJ Sejnowski
Science 268 (5216), 1503-1506, 1995
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
Learning and relearning in Boltzmann machines
GE Hinton, TJ Sejnowski
Parallel distributed processing: Explorations in the microstructure of…, 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
Genome-wide detection and characterization of positive selection in human populations
PC Sabeti, P Varilly, B Fry, J Lohmueller, E Hostetter, C Cotsapas, X Xie, ...
Nature 449 (7164), 913-918, 2007
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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