| 2009 |
|---|
| 111 | EE | Klaus M. Stiefel,
Boris S. Gutkin,
Terrence J. Sejnowski:
The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons.
Journal of Computational Neuroscience 26(2): 289-301 (2009) |
| 2008 |
|---|
| 110 | EE | Bernhard Englitz,
Klaus M. Stiefel,
Terrence J. Sejnowski:
Irregular Firing of Isolated Cortical Interneurons in Vitro Driven by Intrinsic Stochastic Mechanisms.
Neural Computation 20(1): 44-64 (2008) |
| 2007 |
|---|
| 109 | EE | Scott B. Baden,
Terrence J. Sejnowski,
Thomas M. Bartol,
Joel Stiles:
Toward Petascale Simulation of Cellular Microphysiology.
BIBE 2007: 628-634 |
| 2006 |
|---|
| 108 | EE | Odelia Schwartz,
Terrence J. Sejnowski,
Peter Dayan:
Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics.
Neural Computation 18(11): 2680-2718 (2006) |
| 107 | EE | Jyoti Mishra,
Jean-Marc Fellous,
Terrence J. Sejnowski:
Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron.
Neural Networks 19(9): 1329-1346 (2006) |
| 106 | EE | Jörn Anemüller,
Jeng-Ren Duann,
Terrence J. Sejnowski,
Scott Makeig:
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis.
Neurocomputing 69(13-15): 1502-1512 (2006) |
| 2005 |
|---|
| 105 | EE | Odelia Schwartz,
Terrence J. Sejnowski,
Peter Dayan:
A Bayesian Framework for Tilt Perception and Confidence.
NIPS 2005 |
| 2004 |
|---|
| 104 | EE | Jörn Anemüller,
Terrence J. Sejnowski,
Scott Makeig:
Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals.
ICA 2004: 1009-1016 |
| 103 | EE | Jörn Anemüller,
Jeng-Ren Duann,
Terrence J. Sejnowski,
Scott Makeig:
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA.
ICA 2004: 1103-1110 |
| 102 | EE | Gregory T. Balls,
Scott B. Baden,
Tilman Kispersky,
Thomas M. Bartol,
Terrence J. Sejnowski:
A Large Scale Monte Carlo Simulator for Cellular Microphysiology.
IPDPS 2004 |
| 101 | EE | Odelia Schwartz,
Terrence J. Sejnowski,
Peter Dayan:
Assignment of Multiplicative Mixtures in Natural Images.
NIPS 2004 |
| 100 | EE | Paul H. E. Tiesinga,
Terrence J. Sejnowski:
Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks.
Neural Computation 16(2): 251-275 (2004) |
| 99 | EE | Paul H. E. Tiesinga,
Jean-Marc Fellous,
Emilio Salinas,
Jorge V. José,
Terrence J. Sejnowski:
Synchronization as a mechanism for attentional gain modulation.
Neurocomputing 58-60: 641-646 (2004) |
| 2003 |
|---|
| 98 | | J. R. Stiles,
W. C. Ford,
J. M. Pattillo,
T. E. Deerinck,
Mark H. Ellisman,
Thomas M. Bartol,
Terrence J. Sejnowski:
Spatially Realistic Computational Physiology: Past, Present and Future.
PARCO 2003: 685-694 |
| 97 | EE | Jörn Anemüller,
Terrence J. Sejnowski,
Scott Makeig:
Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data
CoRR q-bio.QM/0310011: (2003) |
| 96 | EE | Kenneth Kreutz-Delgado,
Joseph F. Murray,
Bhaskar D. Rao,
Kjersti Engan,
Te-Won Lee,
Terrence J. Sejnowski:
Dictionary Learning Algorithms for Sparse Representation.
Neural Computation 15(2): 349-396 (2003) |
| 95 | EE | Eizaburo Doi,
Toshio Inui,
Te-Won Lee,
Thomas Wachtler,
Terrence J. Sejnowski:
Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes.
Neural Computation 15(2): 397-417 (2003) |
| 94 | EE | Kwokleung Chan,
Te-Won Lee,
Terrence J. Sejnowski:
Variational Bayesian Learning of ICA with Missing Data.
Neural Computation 15(8): 1991-2011 (2003) |
| 93 | EE | Jörn Anemüller,
Terrence J. Sejnowski,
Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data.
Neural Networks 16(9): 1311-1323 (2003) |
| 92 | EE | Jutta Kretzberg,
Terrence J. Sejnowski,
Anne-Kathrin Warzecha,
Martin Egelhaaf:
Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs.
Neurocomputing 52-54: 313-320 (2003) |
| 2002 |
|---|
| 91 | EE | Marian Stewart Bartlett,
Gwen Littlewort,
Bjorn Braathen,
Terrence J. Sejnowski,
Javier R. Movellan:
A Prototype for Automatic Recognition of Spontaneous Facial Actions.
NIPS 2002: 1271-1278 |
| 90 | EE | Javier R. Movellan,
Thomas Wachtler,
Thomas D. Albright,
Terrence J. Sejnowski:
Factorial Coding of Color in Primary Visual Cortex.
NIPS 2002: 205-212 |
| 89 | EE | Kwokleung Chan,
Te-Won Lee,
Terrence J. Sejnowski:
Handling Missing Data with Variational Bayesian Learning of ICA.
NIPS 2002: 881-888 |
| 88 | EE | Roland E. Suri,
Terrence J. Sejnowski:
Spike propagation synchronized by temporally asymmetric Hebbian learning.
Biological Cybernetics 87(5-6): 440-445 (2002) |
| 87 | EE | Kwokleung Chan,
Te-Won Lee,
Terrence J. Sejnowski:
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components.
Journal of Machine Learning Research 3: 99-114 (2002) |
| 86 | EE | Laurenz Wiskott,
Terrence J. Sejnowski:
Slow Feature Analysis: Unsupervised Learning of Invariances.
Neural Computation 14(4): 715-770 (2002) |
| 85 | EE | Paul H. E. Tiesinga,
Jean-Marc Fellous,
Terrence J. Sejnowski:
Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains.
Neural Computation 14(7): 1629-1650 (2002) |
| 84 | EE | Emilio Salinas,
Terrence J. Sejnowski:
Integrate-and-Fire Neurons Driven by Correlated Stochastic Input.
Neural Computation 14(9): 2111-2155 (2002) |
| 83 | EE | Arnaud Delorme,
Scott Makeig,
Michèle Fabre-Thorpe,
Terrence J. Sejnowski:
From single-trial EEG to brain area dynamics.
Neurocomputing 44-46: 1057-1064 (2002) |
| 82 | EE | Paul H. E. Tiesinga,
Jean-Marc Fellous,
Terrence J. Sejnowski:
Spike-time reliability of periodically driven integrate-and-fire neurons.
Neurocomputing 44-46: 195-200 (2002) |
| 81 | EE | F. W. Howell,
Maxim Bazhenov,
P. Rogister,
Terrence J. Sejnowski,
Nigel H. Goddard:
Scaling a slow-wave sleep cortical network model using NEOSIM.
Neurocomputing 44-46: 453-458 (2002) |
| 80 | EE | Michael I. Jordan,
Terrence J. Sejnowski:
Graphical Models: Foundations of Neural Computation.
Pattern Anal. Appl. 5(4): 401-402 (2002) |
| 2001 |
|---|
| 79 | | Olivier J. M. D. Coenen,
Michael P. Arnold,
Terrence J. Sejnowski,
Marwan A. Jabri:
Parallel Fiber Coding in the Cerebellum for Life-Long Learning.
Auton. Robots 11(3): 291-297 (2001) |
| 78 | EE | Rajesh P. N. Rao,
Terrence J. Sejnowski:
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning.
Neural Computation 13(10): 2221-2237 (2001) |
| 77 | | Rajesh P. N. Rao,
David M. Eagleman,
Terrence J. Sejnowski:
Optimal Smoothing in Visual Motion Perception.
Neural Computation 13(6): 1243-1253 (2001) |
| 76 | EE | Martina Wicklein,
Terrence J. Sejnowski:
Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera).
Neurocomputing 38-40: 1595-1602 (2001) |
| 75 | EE | Arthur R. Houweling,
Rashmi H. Modi,
Paul Ganter,
Jean-Marc Fellous,
Terrence J. Sejnowski:
Models of frequency preferences of prefrontal cortical neurons.
Neurocomputing 38-40: 231-238 (2001) |
| 74 | EE | Paul H. E. Tiesinga,
Jean-Marc Fellous,
Jorge V. José,
Terrence J. Sejnowski:
Optimal information transfer in synchronized neocortical neurons.
Neurocomputing 38-40: 397-402 (2001) |
| 73 | EE | Jean-Marc Fellous,
Paul H. E. Tiesinga,
Jorge V. José,
Terrence J. Sejnowski:
Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus.
Neurocomputing 38-40: 587-593 (2001) |
| 72 | EE | Kevin M. Franks,
Thomas M. Bartol,
Terrence J. Sejnowski:
An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines.
Neurocomputing 38-40: 9-16 (2001) |
| 2000 |
|---|
| 71 | EE | Te-Won Lee,
Thomas Wachtler,
Terrence J. Sejnowski:
The Spectral Independent Components of Natural Scenes.
Biologically Motivated Computer Vision 2000: 527-534 |
| 70 | EE | Marwan A. Jabri,
Ki-Young Park,
Soo-Young Lee,
Terrence J. Sejnowski:
Properties of Independent Components of Self-Motion Optical Flow.
ISMVL 2000: 355- |
| 69 | | Te-Won Lee,
Thomas Wachtler,
Terrence J. Sejnowski:
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes.
NIPS 2000: 866-872 |
| 68 | | Michael S. Gray,
Terrence J. Sejnowski,
Javier R. Movellan:
A Comparison of Image Processing Techniques for Visual Speech Recognition Applications.
NIPS 2000: 939-945 |
| 67 | EE | Te-Won Lee,
Michael S. Lewicki,
Terrence J. Sejnowski:
ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation.
IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000) |
| 66 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Learning Overcomplete Representations.
Neural Computation 12(2): 337-365 (2000) |
| 1999 |
|---|
| 65 | EE | Rajesh P. N. Rao,
Terrence J. Sejnowski:
Predictive Sequence Learning in Recurrent Neocortical Circuits.
NIPS 1999: 164-170 |
| 64 | EE | Marian Stewart Bartlett,
Gianluca Donato,
Javier R. Movellan,
Joseph C. Hager,
Paul Ekman,
Terrence J. Sejnowski:
Image Representations for Facial Expression Coding.
NIPS 1999: 886-892 |
| 63 | EE | Gianluca Donato,
Marian Stewart Bartlett,
Joseph C. Hager,
Paul Ekman,
Terrence J. Sejnowski:
Classifying Facial Actions.
IEEE Trans. Pattern Anal. Mach. Intell. 21(10): 974-989 (1999) |
| 62 | | Kechen Zhang,
Terrence J. Sejnowski:
Neuronal tuning: To Sharpen or Broaden?
Neural Computation 11(1): 75-84 (1999) |
| 61 | | Udo Ernst,
Klaus Pawelzik,
Misha Tsodyks,
Terrence J. Sejnowski:
Relation Between Retinotopical and Orientation Maps in Visual Cortex.
Neural Computation 11(2): 375-379 (1999) |
| 60 | | Te-Won Lee,
Mark Girolami,
Terrence J. Sejnowski:
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources.
Neural Computation 11(2): 417-441 (1999) |
| 59 | | Sidney R. Lehky,
Terrence J. Sejnowski:
Seeing White: Qualia in the Context of Decoding Population Codes.
Neural Computation 11(6): 1261-1280 (1999) |
| 58 | EE | Arthur R. Houweling,
Maxim Bazhenov,
Igor Timofeev,
Mircea Steriade,
Terrence J. Sejnowski:
Cortical and thalamic components of augmenting responses: A modeling study.
Neurocomputing 26-27: 735-742 (1999) |
| 1998 |
|---|
| 57 | EE | Tzyy-Ping Jung,
Scott Makeig,
Marissa Westerfield,
Jeanne Townsend,
Eric Courchesne,
Terrence J. Sejnowski:
Analyzing and Visualizing Single-Trial Event-Related Potentials.
NIPS 1998: 118-124 |
| 56 | EE | Te-Won Lee,
Michael S. Lewicki,
Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
NIPS 1998: 508-514 |
| 55 | EE | Michael S. Lewicki,
Terrence J. Sejnowski:
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations.
NIPS 1998: 730-736 |
| 54 | | Laurenz Wiskott,
Terrence J. Sejnowski:
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization.
Neural Computation 10(3): 671-716 (1998) |
| 1997 |
|---|
| 53 | | Laurenz Wiskott,
Terrence J. Sejnowski:
Objective Functions for Neural Map Formation.
ICANN 1997: 243-248 |
| 52 | | Raphael Ritz,
Terrence J. Sejnowski:
Correlation Coding in Stochastic Neural Networks.
ICANN 1997: 79-84 |
| 51 | | Tzyy-Ping Jung,
Colin Humphries,
Te-Won Lee,
Scott Makeig,
Martin J. McKeown,
Vicente Iragui,
Terrence J. Sejnowski:
Extended ICA Removes Artifacts from Electroencephalographic Recordings.
NIPS 1997 |
| 50 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding.
NIPS 1997 |
| 49 | EE | Geoffrey J. Goodhill,
Terrence J. Sejnowski:
A Unifying Objective Function for Topographic Mappings.
Neural Computation 9(6): 1291-1303 (1997) |
| 1996 |
|---|
| 48 | EE | Magnus Stensmo,
Terrence J. Sejnowski:
Learning Decision Theoretic Utilities through Reinforcement Learning.
NIPS 1996: 1061-1067 |
| 47 | EE | Akaysha C. Tang,
Andreas M. Bartels,
Terrence J. Sejnowski:
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input.
NIPS 1996: 111-117 |
| 46 | EE | Michael S. Lewicki,
Terrence J. Sejnowski:
Bayesian Unsupervised Learning of Higher Order Structure.
NIPS 1996: 529-535 |
| 45 | EE | Michael S. Gray,
Javier R. Movellan,
Terrence J. Sejnowski:
Dynamic Features for Visual Speechreading: A Systematic Comparison.
NIPS 1996: 751-757 |
| 44 | EE | Marian Stewart Bartlett,
Terrence J. Sejnowski:
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks.
NIPS 1996: 817-823 |
| 43 | EE | Anthony J. Bell,
Terrence J. Sejnowski:
Edges are the Independent Components of Natural Scenes.
NIPS 1996: 831-837 |
| 42 | EE | Michael S. Gray,
Alexandre Pouget,
Richard S. Zemel,
Steven J. Nowlan,
Terrence J. Sejnowski:
Selective Integration: A Model for Disparity Estimation.
NIPS 1996: 866-872 |
| 41 | EE | George N. Reeke Jr.,
Patricia S. Churchland,
Terrence J. Sejnowski:
The Computational Brain.
Artif. Intell. 82(1-2): 381-391 (1996) |
| 40 | | Peter Dayan,
Terrence J. Sejnowski:
Exploration Bonuses and Dual Control.
Machine Learning 25(1): 5-22 (1996) |
| 1995 |
|---|
| 39 | EE | Terrence J. Sejnowski,
Peter Dayan,
P. Read Montague:
Predictive Hebbian Learning.
COLT 1995: 15-18 |
| 38 | EE | Alexandre Pouget,
Terrence J. Sejnowski:
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect.
NIPS 1995: 10-16 |
| 37 | EE | Scott Makeig,
Anthony J. Bell,
Tzyy-Ping Jung,
Terrence J. Sejnowski:
Independent Component Analysis of Electroencephalographic Data.
NIPS 1995: 145-151 |
| 36 | EE | Geoffrey J. Goodhill,
Steven Finch,
Terrence J. Sejnowski:
Optimizing Cortical Mappings.
NIPS 1995: 330-336 |
| 35 | EE | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Tempering Backpropagation Networks: Not All Weights are Created Equal.
NIPS 1995: 563-569 |
| 34 | EE | Marian Stewart Bartlett,
Paul A. Viola,
Terrence J. Sejnowski,
Beatrice A. Golomb,
Jan Larsen,
Joseph C. Hager,
Paul Ekman:
Classifying Facial Action.
NIPS 1995: 823-829 |
| 33 | EE | Paul A. Viola,
Nicol N. Schraudolph,
Terrence J. Sejnowski:
Empirical Entropy Manipulation for Real-World Problems.
NIPS 1995: 851-857 |
| 32 | EE | Olivier J. M. D. Coenen,
Terrence J. Sejnowski:
A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex.
NIPS 1995: 89-95 |
| 31 | EE | Scott Makeig,
Tzyy-Ping Jung,
Terrence J. Sejnowski:
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence.
NIPS 1995: 931-937 |
| 30 | EE | Anthony J. Bell,
Terrence J. Sejnowski:
An information-maximization approach to blind separation and blind deconvolution.
Neural Computation 7(6): 1129-1159 (1995) |
| 29 | | Michael S. Gray,
David T. Lawrence,
Beatrice A. Golomb,
Terrence J. Sejnowski:
A perceptron reveals the face of sex.
Neural Computation 7(6): 1160-1164 (1995) |
| 1994 |
|---|
| 28 | EE | Kenji Doya,
Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning.
NIPS 1994: 101-108 |
| 27 | EE | Magnus Stensmo,
Terrence J. Sejnowski:
A Mixture Model System for Medical and Machine Diagnosis.
NIPS 1994: 1077-1084 |
| 26 | EE | Alexandre Pouget,
Cedric Deffayet,
Terrence J. Sejnowski:
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl.
NIPS 1994: 125-132 |
| 25 | EE | Alexandre Pouget,
Terrence J. Sejnowski:
Spatial Representations in the Parietal Cortex May Use Basis Functions.
NIPS 1994: 157-164 |
| 24 | EE | Richard S. Zemel,
Terrence J. Sejnowski:
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.
NIPS 1994: 165-172 |
| 23 | EE | Anthony J. Bell,
Terrence J. Sejnowski:
A Non-linear Information Maximisation Algorithm that Performs Blind Separation.
NIPS 1994: 467-474 |
| 22 | EE | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Plasticity-Mediated Competitive Learning.
NIPS 1994: 475-480 |
| 21 | | Peter Dayan,
Terrence J. Sejnowski:
TD(lambda) Converges with Probability 1.
Machine Learning 14(1): 295-301 (1994) |
| 1993 |
|---|
| 20 | EE | Josef P. Rauschecker,
Terrence J. Sejnowski:
Processing of Visual and Auditory Space and Its Modification by Experience.
NIPS 1993: 1186-1187 |
| 19 | EE | P. Read Montague,
Peter Dayan,
Terrence J. Sejnowski:
Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
NIPS 1993: 598-605 |
| 18 | EE | Nicol N. Schraudolph,
Peter Dayan,
Terrence J. Sejnowski:
Temporal Difference Learning of Position Evaluation in the Game of Go.
NIPS 1993: 817-824 |
| 1992 |
|---|
| 17 | EE | Steven J. Nowlan,
Terrence J. Sejnowski:
Filter Selection Model for Generating Visual Motion Signals.
NIPS 1992: 369-376 |
| 16 | EE | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain.
NIPS 1992: 499-506 |
| 15 | EE | Olivier J. M. D. Coenen,
Terrence J. Sejnowski,
Stephen G. Lisberger:
Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex.
NIPS 1992: 961-968 |
| 14 | EE | P. Read Montague,
Peter Dayan,
Steven J. Nowlan,
Terrence J. Sejnowski:
Using Aperiodic Reinforcement for Directed Self-Organization During Development.
NIPS 1992: 969-976 |
| 1991 |
|---|
| 13 | EE | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Competitive Anti-Hebbian Learning of Invariants.
NIPS 1991: 1017-1024 |
| 12 | EE | Paul A. Viola,
Stephen G. Lisberger,
Terrence J. Sejnowski:
Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion.
NIPS 1991: 380-387 |
| 11 | EE | Alexandre Pouget,
Stephen A. Fisher,
Terrence J. Sejnowski:
Hierarchical Transformation of Space in the Visual System.
NIPS 1991: 412-419 |
| 10 | EE | Rita Venturini,
William W. Lytton,
Terrence J. Sejnowski:
Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance.
NIPS 1991: 651-658 |
| 1990 |
|---|
| 9 | EE | Beatrice A. Golomb,
David T. Lawrence,
Terrence J. Sejnowski:
SEXNET: A Neural Network Identifies Sex From Human Faces.
NIPS 1990: 572-579 |
| 1989 |
|---|
| 8 | EE | Terrence J. Sejnowski,
B. Yuhas,
Moise H. Goldstein Jr.,
R. E. Jenkins:
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility.
NIPS 1989: 232-239 |
| 7 | EE | Shawn R. Lockery,
Yan Fang,
Terrence J. Sejnowski:
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech.
NIPS 1989: 28-35 |
| 6 | | Gerald Tesauro,
Terrence J. Sejnowski:
A Parallel Network that Learns to Play Backgammon.
Artif. Intell. 39(3): 357-390 (1989) |
| 1988 |
|---|
| 5 | EE | Patric K. Stanton,
Terrence J. Sejnowski:
Storing Covariance by the Associative Long-Term Potentation and Depression of Synaptic Strengths in the Hippocampus.
NIPS 1988: 394-401 |
| 4 | EE | R. Paul Gorman,
Terrence J. Sejnowski:
Analysis of hidden units in a layered network trained to classify sonar targets.
Neural Networks 1(1): 75-89 (1988) |
| 1987 |
|---|
| 3 | EE | Gerald Tesauro,
Terrence J. Sejnowski:
A 'Neural' Network that Learns to Play Backgammon.
NIPS 1987: 794-803 |
| 1985 |
|---|
| 2 | | David H. Ackley,
Geoffrey E. Hinton,
Terrence J. Sejnowski:
A Learning Algorithm for Boltzmann Machines.
Cognitive Science 9(1): 147-169 (1985) |
| 1983 |
|---|
| 1 | | Scott E. Fahlman,
Geoffrey E. Hinton,
Terrence J. Sejnowski:
Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines.
AAAI 1983: 109-113 |
