 | 2009 |
|---|
| 115 |       | Jiucang Hao,
Hagai Attias,
Srikantan S. Nagarajan,
Te-Won Lee,
Terrence J. Sejnowski:
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation.
IEEE Transactions on Audio, Speech & Language Processing 17(1): 24-37 (2009) |
| 114 | | 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 |
|---|
| 113 | | 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 |
|---|
| 112 | | Scott B. Baden,
Terrence J. Sejnowski,
Thomas M. Bartol,
Joel R. Stiles:
Toward Petascale Simulation of Cellular Microphysiology.
BIBE 2007: 628-634 |
| 2006 |
|---|
| 111 | | 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) |
| 110 | | 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) |
| 109 | | 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 |
|---|
| 108 | | Odelia Schwartz,
Terrence J. Sejnowski,
Peter Dayan:
A Bayesian Framework for Tilt Perception and Confidence.
NIPS 2005 |
| 2004 |
|---|
| 107 | | 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 |
| 106 | | Jörn Anemüller,
Jeng-Ren Duann,
Terrence J. Sejnowski,
Scott Makeig:
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA.
ICA 2004: 1103-1110 |
| 105 | | 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 |
| 104 | | Odelia Schwartz,
Terrence J. Sejnowski,
Peter Dayan:
Assignment of Multiplicative Mixtures in Natural Images.
NIPS 2004 |
| 103 | | Henri Casanova,
Francine Berman,
Thomas M. Bartol,
Erhan Gokcay,
Terrence J. Sejnowski,
Adam Birnbaum,
Jack Dongarra,
Michelle Miller,
Mark H. Ellisman,
Marcio Faerman,
Graziano Obertelli,
Richard Wolski,
Stuart M. Pomerantz,
Joel R. Stiles:
The Virtual Instrument: Support for Grid-Enabled Mcell Simulations.
IJHPCA 18(1): 3-17 (2004) |
| 102 | | 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) |
| 101 | | 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 |
|---|
| 100 |  | Joel 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 |
| 99 | | Jörn Anemüller,
Terrence J. Sejnowski,
Scott Makeig:
Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data
CoRR q-bio.QM/0310011: (2003) |
| 98 | | 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) |
| 97 | | 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) |
| 96 | | Kwokleung Chan,
Te-Won Lee,
Terrence J. Sejnowski:
Variational Bayesian Learning of ICA with Missing Data.
Neural Computation 15(8): 1991-2011 (2003) |
| 95 | | Jörn Anemüller,
Terrence J. Sejnowski,
Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data.
Neural Networks 16(9): 1311-1323 (2003) |
| 94 | | 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 |
|---|
| 93 | | 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 |
| 92 | | Javier R. Movellan,
Thomas Wachtler,
Thomas D. Albright,
Terrence J. Sejnowski:
Factorial Coding of Color in Primary Visual Cortex.
NIPS 2002: 205-212 |
| 91 | | Kwokleung Chan,
Te-Won Lee,
Terrence J. Sejnowski:
Handling Missing Data with Variational Bayesian Learning of ICA.
NIPS 2002: 881-888 |
| 90 | | Roland E. Suri,
Terrence J. Sejnowski:
Spike propagation synchronized by temporally asymmetric Hebbian learning.
Biological Cybernetics 87(5-6): 440-445 (2002) |
| 89 | | 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) |
| 88 | | Laurenz Wiskott,
Terrence J. Sejnowski:
Slow Feature Analysis: Unsupervised Learning of Invariances.
Neural Computation 14(4): 715-770 (2002) |
| 87 | | 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) |
| 86 | | Emilio Salinas,
Terrence J. Sejnowski:
Integrate-and-Fire Neurons Driven by Correlated Stochastic Input.
Neural Computation 14(9): 2111-2155 (2002) |
| 85 | | Arnaud Delorme,
Scott Makeig,
Michèle Fabre-Thorpe,
Terrence J. Sejnowski:
From single-trial EEG to brain area dynamics.
Neurocomputing 44-46: 1057-1064 (2002) |
| 84 | | 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) |
| 83 | | 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) |
| 82 | | Michael I. Jordan,
Terrence J. Sejnowski:
Graphical Models: Foundations of Neural Computation.
Pattern Anal. Appl. 5(4): 401-402 (2002) |
| 2001 |
|---|
| 81 | | 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) |
| 80 | | Rajesh P. N. Rao,
Terrence J. Sejnowski:
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning.
Neural Computation 13(10): 2221-2237 (2001) |
| 79 | | Rajesh P. N. Rao,
David M. Eagleman,
Terrence J. Sejnowski:
Optimal Smoothing in Visual Motion Perception.
Neural Computation 13(6): 1243-1253 (2001) |
| 78 | | Martina Wicklein,
Terrence J. Sejnowski:
Perception of change in depth in the hummingbird hawkmoth Manduca sexta (Sphingidae, Lepidoptera).
Neurocomputing 38-40: 1595-1602 (2001) |
| 77 | | 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) |
| 76 | | 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) |
| 75 | | 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) |
| 74 | | 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 |
|---|
| 73 | | Te-Won Lee,
Thomas Wachtler,
Terrence J. Sejnowski:
The Spectral Independent Components of Natural Scenes.
Biologically Motivated Computer Vision 2000: 527-534 |
| 72 | | Marwan A. Jabri,
Ki-Young Park,
Soo-Young Lee,
Terrence J. Sejnowski:
Properties of Independent Components of Self-Motion Optical Flow.
ISMVL 2000: 355- |
| 71 | | 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 |
| 70 | | Michael S. Gray,
Terrence J. Sejnowski,
Javier R. Movellan:
A Comparison of Image Processing Techniques for Visual Speech Recognition Applications.
NIPS 2000: 939-945 |
| 69 | | 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) |
| 68 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Learning Overcomplete Representations.
Neural Computation 12(2): 337-365 (2000) |
| 1999 |
|---|
| 67 | | Rajesh P. N. Rao,
Terrence J. Sejnowski:
Predictive Sequence Learning in Recurrent Neocortical Circuits.
NIPS 1999: 164-170 |
| 66 | | 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 |
| 65 | | 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) |
| 64 | | Kechen Zhang,
Terrence J. Sejnowski:
Neuronal tuning: To Sharpen or Broaden?
Neural Computation 11(1): 75-84 (1999) |
| 63 | | 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) |
| 62 | | 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) |
| 61 | | Sidney R. Lehky,
Terrence J. Sejnowski:
Seeing White: Qualia in the Context of Decoding Population Codes.
Neural Computation 11(6): 1261-1280 (1999) |
| 60 | | 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 |
|---|
| 59 | | 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 |
| 58 | | Te-Won Lee,
Michael S. Lewicki,
Terrence J. Sejnowski:
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.
NIPS 1998: 508-514 |
| 57 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations.
NIPS 1998: 730-736 |
| 56 | | 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 |
|---|
| 55 | | Laurenz Wiskott,
Terrence J. Sejnowski:
Objective Functions for Neural Map Formation.
ICANN 1997: 243-248 |
| 54 | | Raphael Ritz,
Terrence J. Sejnowski:
Correlation Coding in Stochastic Neural Networks.
ICANN 1997: 79-84 |
| 53 | | 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 |
| 52 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Learning Nonlinear Overcomplete Representations for Efficient Coding.
NIPS 1997 |
| 51 | | Geoffrey J. Goodhill,
Terrence J. Sejnowski:
A Unifying Objective Function for Topographic Mappings.
Neural Computation 9(6): 1291-1303 (1997) |
| 1996 |
|---|
| 50 | | Magnus Stensmo,
Terrence J. Sejnowski:
Learning Decision Theoretic Utilities through Reinforcement Learning.
NIPS 1996: 1061-1067 |
| 49 | | Akaysha C. Tang,
Andreas M. Bartels,
Terrence J. Sejnowski:
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input.
NIPS 1996: 111-117 |
| 48 | | Michael S. Lewicki,
Terrence J. Sejnowski:
Bayesian Unsupervised Learning of Higher Order Structure.
NIPS 1996: 529-535 |
| 47 | | Michael S. Gray,
Javier R. Movellan,
Terrence J. Sejnowski:
Dynamic Features for Visual Speechreading: A Systematic Comparison.
NIPS 1996: 751-757 |
| 46 | | Marian Stewart Bartlett,
Terrence J. Sejnowski:
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks.
NIPS 1996: 817-823 |
| 45 | | Anthony J. Bell,
Terrence J. Sejnowski:
Edges are the Independent Components of Natural Scenes.
NIPS 1996: 831-837 |
| 44 | | 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 |
| 43 | | George N. Reeke Jr.,
Patricia S. Churchland,
Terrence J. Sejnowski:
The Computational Brain.
Artif. Intell. 82(1-2): 381-391 (1996) |
| 42 | | Peter Dayan,
Terrence J. Sejnowski:
Exploration Bonuses and Dual Control.
Machine Learning 25(1): 5-22 (1996) |
| 1995 |
|---|
| 41 | | Terrence J. Sejnowski,
Peter Dayan,
P. Read Montague:
Predictive Hebbian Learning.
COLT 1995: 15-18 |
| 40 | | Alexandre Pouget,
Terrence J. Sejnowski:
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect.
NIPS 1995: 10-16 |
| 39 | | Scott Makeig,
Anthony J. Bell,
Tzyy-Ping Jung,
Terrence J. Sejnowski:
Independent Component Analysis of Electroencephalographic Data.
NIPS 1995: 145-151 |
| 38 | | Geoffrey J. Goodhill,
Steven Finch,
Terrence J. Sejnowski:
Optimizing Cortical Mappings.
NIPS 1995: 330-336 |
| 37 | | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Tempering Backpropagation Networks: Not All Weights are Created Equal.
NIPS 1995: 563-569 |
| 36 | | 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 |
| 35 | | Paul A. Viola,
Nicol N. Schraudolph,
Terrence J. Sejnowski:
Empirical Entropy Manipulation for Real-World Problems.
NIPS 1995: 851-857 |
| 34 | | Olivier J. M. D. Coenen,
Terrence J. Sejnowski:
A Dynamical Moedl of Context Dependencies for the Vestibulo-Ocular Reflex.
NIPS 1995: 89-95 |
| 33 | | 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 |
| 32 | | Anthony J. Bell,
Terrence J. Sejnowski:
An information-maximization approach to blind separation and blind deconvolution.
Neural Computation 7(6): 1129-1159 (1995) |
| 31 | | 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 |
|---|
| 30 | | Kenji Doya,
Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning.
NIPS 1994: 101-108 |
| 29 | | Magnus Stensmo,
Terrence J. Sejnowski:
A Mixture Model System for Medical and Machine Diagnosis.
NIPS 1994: 1077-1084 |
| 28 | | 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 |
| 27 | | Alexandre Pouget,
Terrence J. Sejnowski:
Spatial Representations in the Parietal Cortex May Use Basis Functions.
NIPS 1994: 157-164 |
| 26 | | Richard S. Zemel,
Terrence J. Sejnowski:
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.
NIPS 1994: 165-172 |
| 25 | | Anthony J. Bell,
Terrence J. Sejnowski:
A Non-linear Information Maximisation Algorithm that Performs Blind Separation.
NIPS 1994: 467-474 |
| 24 | | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Plasticity-Mediated Competitive Learning.
NIPS 1994: 475-480 |
| 23 | | Peter Dayan,
Terrence J. Sejnowski:
TD(lambda) Converges with Probability 1.
Machine Learning 14(1): 295-301 (1994) |
| 22 | | Alain Destexhe,
Zachary F. Mainen,
Terrence J. Sejnowski:
An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding.
Neural Computation 6(1): 14-18 (1994) |
| 1993 |
|---|
| 21 | | Josef P. Rauschecker,
Terrence J. Sejnowski:
Processing of Visual and Auditory Space and Its Modification by Experience.
NIPS 1993: 1186-1187 |
| 20 | | P. Read Montague,
Peter Dayan,
Terrence J. Sejnowski:
Foraging in an Uncertain Environment Using Predictive Hebbian Learning.
NIPS 1993: 598-605 |
| 19 | | Nicol N. Schraudolph,
Peter Dayan,
Terrence J. Sejnowski:
Temporal Difference Learning of Position Evaluation in the Game of Go.
NIPS 1993: 817-824 |
| 18 | | Peter Dayan,
Terrence J. Sejnowski:
The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning.
Neural Computation 5(2): 205-209 (1993) |
| 1992 |
|---|
| 17 | | Steven J. Nowlan,
Terrence J. Sejnowski:
Filter Selection Model for Generating Visual Motion Signals.
NIPS 1992: 369-376 |
| 16 | | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain.
NIPS 1992: 499-506 |
| 15 | | 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 | | 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 | | Nicol N. Schraudolph,
Terrence J. Sejnowski:
Competitive Anti-Hebbian Learning of Invariants.
NIPS 1991: 1017-1024 |
| 12 | | 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 | | Alexandre Pouget,
Stephen A. Fisher,
Terrence J. Sejnowski:
Hierarchical Transformation of Space in the Visual System.
NIPS 1991: 412-419 |
| 10 | | 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 | | Beatrice A. Golomb,
David T. Lawrence,
Terrence J. Sejnowski:
SEXNET: A Neural Network Identifies Sex From Human Faces.
NIPS 1990: 572-579 |
| 1989 |
|---|
| 8 | | Terrence J. Sejnowski,
Ben P. Yuhas,
Moise H. Goldstein Jr.,
Robert E. Jenkins:
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility.
NIPS 1989: 232-239 |
| 7 | | 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 | | 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 | | 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 | | 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 |
