ML Anthology

Sejnowski, Terrence J.

78 publications

NeurIPSW 2019 Spiking Recurrent Networks as a Model to Probe Neuronal Timescales Specific to Working Memory Robert Kim, Terrence J. Sejnowski
NeurIPS 2018 Gradient Descent for Spiking Neural Networks Dongsung Huh, Terrence J. Sejnowski
NeurIPS 2005 A Bayesian Framework for Tilt Perception and Confidence Odelia Schwartz, Peter Dayan, Terrence J. Sejnowski
NeurIPS 2004 Assignment of Multiplicative Mixtures in Natural Images Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
NeCo 2004 Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks Paul H. E. Tiesinga, Terrence J. Sejnowski
NeCo 2003 Dictionary Learning Algorithms for Sparse Representation Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
NeCo 2003 Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
NeCo 2003 Variational Bayesian Learning of ICA with Missing Data Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
NeCo 2002 Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
NeurIPS 2002 Handling Missing Data with Variational Bayesian Learning of ICA Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
NeCo 2002 Integrate-and-Fire Neurons Driven by Correlated Stochastic Input Emilio Salinas, Terrence J. Sejnowski
NeCo 2002 Slow Feature Analysis: Unsupervised Learning of Invariances Laurenz Wiskott, Terrence J. Sejnowski
JMLR 2002 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
NeCo 2001 Optimal Smoothing in Visual Motion Perception Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski
NeCo 2001 Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning Rajesh P. N. Rao, Terrence J. Sejnowski
NeurIPS 2000 A Comparison of Image Processing Techniques for Visual Speech Recognition Applications Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan
NeurIPS 2000 Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
NeCo 2000 Learning Overcomplete Representations Michael S. Lewicki, Terrence J. Sejnowski
NeurIPS 1999 Image Representations for Facial Expression Coding Marian Stewart Bartlett, Gianluca Donato, Javier R. Movellan, Joseph C. Hager, Paul Ekman, Terrence J. Sejnowski
NeCo 1999 Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski
NeCo 1999 Neuronal Tuning: To Sharpen or Broaden? Kechen Zhang, Terrence J. Sejnowski
NeurIPS 1999 Predictive Sequence Learning in Recurrent Neocortical Circuits Rajesh P. N. Rao, Terrence J. Sejnowski
NeCo 1999 Relation Between Retinotopical and Orientation Maps in Visual Cortex Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski
NeCo 1999 Seeing White: Qualia in the Context of Decoding Population Codes Sidney R. Lehky, Terrence J. Sejnowski
NeurIPS 1998 Analyzing and Visualizing Single-Trial Event-Related Potentials Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
NeurIPS 1998 Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations Michael S. Lewicki, Terrence J. Sejnowski
NeCo 1998 Constrained Optimization for Neural mAP Formation: A Unifying Framework for Weight Growth and Normalization Laurenz Wiskott, Terrence J. Sejnowski
NeurIPS 1998 Unsupervised Classification with Non-Gaussian Mixture Models Using ICA Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
NeCo 1997 A Unifying Objective Function for Topographic Mappings Geoffrey J. Goodhill, Terrence J. Sejnowski
NeurIPS 1997 Extended ICA Removes Artifacts from Electroencephalographic Recordings Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski
NeurIPS 1997 Learning Nonlinear Overcomplete Representations for Efficient Coding Michael S. Lewicki, Terrence J. Sejnowski
NeurIPS 1996 Bayesian Unsupervised Learning of Higher Order Structure Michael S. Lewicki, Terrence J. Sejnowski
NeurIPS 1996 Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input Akaysha C. Tang, Andreas M. Bartels, Terrence J. Sejnowski
NeurIPS 1996 Dynamic Features for Visual Speechreading: A Systematic Comparison Michael S. Gray, Javier R. Movellan, Terrence J. Sejnowski
NeurIPS 1996 Edges Are the 'Independent Components' of Natural Scenes. Anthony J. Bell, Terrence J. Sejnowski
MLJ 1996 Exploration Bonuses and Dual Control Peter Dayan, Terrence J. Sejnowski
NeurIPS 1996 Learning Decision Theoretic Utilities Through Reinforcement Learning Magnus Stensmo, Terrence J. Sejnowski
NeurIPS 1996 Selective Integration: A Model for Disparity Estimation Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski
NeurIPS 1996 Viewpoint Invariant Face Recognition Using Independent Component Analysis and Attractor Networks Marian Stewart Bartlett, Terrence J. Sejnowski
NeurIPS 1995 A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex Olivier J. M. D. Coenen, Terrence J. Sejnowski
NeurIPS 1995 A Model of Spatial Representations in Parietal Cortex Explains Hemineglect Alexandre Pouget, Terrence J. Sejnowski
NeCo 1995 A Perceptron Reveals the Face of Sex Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski
NeCo 1995 An Information-Maximization Approach to Blind Separation and Blind Deconvolution Anthony J. Bell, Terrence J. Sejnowski
NeurIPS 1995 Classifying Facial Action Marian Stewart Bartlett, Paul A. Viola, Terrence J. Sejnowski, Beatrice A. Golomb, Jan Larsen, Joseph C. Hager, Paul Ekman
NeurIPS 1995 Empirical Entropy Manipulation for Real-World Problems Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski
NeurIPS 1995 Independent Component Analysis of Electroencephalographic Data Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski
NeurIPS 1995 Optimizing Cortical Mappings Geoffrey J. Goodhill, Steven Finch, Terrence J. Sejnowski
COLT 1995 Predictive Hebbian Learning Terrence J. Sejnowski, Peter Dayan, P. Read Montague
NeurIPS 1995 Tempering Backpropagation Networks: Not All Weights Are Created Equal Nicol N. Schraudolph, Terrence J. Sejnowski
NeurIPS 1995 Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski
NeurIPS 1994 A Mixture Model System for Medical and Machine Diagnosis Magnus Stensmo, Terrence J. Sejnowski
NeurIPS 1994 A Non-Linear Information Maximisation Algorithm That Performs Blind Separation Anthony J. Bell, Terrence J. Sejnowski
NeurIPS 1994 A Novel Reinforcement Model of Birdsong Vocalization Learning Kenji Doya, Terrence J. Sejnowski
NeCo 1994 An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski
NeurIPS 1994 Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex Richard S. Zemel, Terrence J. Sejnowski
NeurIPS 1994 Plasticity-Mediated Competitive Learning Nicol N. Schraudolph, Terrence J. Sejnowski
NeurIPS 1994 Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski
NeurIPS 1994 Spatial Representations in the Parietal Cortex May Use Basis Functions Alexandre Pouget, Terrence J. Sejnowski
MLJ 1994 TD(lambda) Converges with Probability 1 Peter Dayan, Terrence J. Sejnowski
NeurIPS 1993 Foraging in an Uncertain Environment Using Predictive Hebbian Learning P. Read Montague, Peter Dayan, Terrence J. Sejnowski
NeurIPS 1993 Processing of Visual and Auditory Space and Its Modification by Experience Josef P. Rauschecker, Terrence J. Sejnowski
NeurIPS 1993 Temporal Difference Learning of Position Evaluation in the Game of Go Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski
NeCo 1993 The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning Peter Dayan, Terrence J. Sejnowski
NeurIPS 1992 Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex Olivier Coenen, Terrence J. Sejnowski, Stephen G. Lisberger
NeurIPS 1992 Filter Selection Model for Generating Visual Motion Signals Steven J. Nowlan, Terrence J. Sejnowski
NeurIPS 1992 Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph, Terrence J. Sejnowski
NeurIPS 1991 Competitive Anti-Hebbian Learning of Invariants Nicol N. Schraudolph, Terrence J. Sejnowski
NeurIPS 1991 Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski
NeurIPS 1991 Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Rita Venturini, William W. Lytton, Terrence J. Sejnowski
NeurIPS 1991 Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski
NeCo 1991 Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics Paul C. Bush, Terrence J. Sejnowski
NeCo 1990 A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
NeCo 1990 Faster Learning for Dynamic Recurrent Backpropagation Yan Fang, Terrence J. Sejnowski
NeurIPS 1989 Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility Terrence J. Sejnowski, Ben P. Yuhas, Moise H. Goldstein Jr., Robert E. Jenkins
NeurIPS 1989 Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski
NeurIPS 1988 Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric K. Stanton, Terrence J. Sejnowski
NeurIPS 1987 A 'Neural' Network That Learns to Play Backgammon Gerald Tesauro, Terrence J. Sejnowski
AAAI 1983 Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski