NIPS Proceedings
^{β}
Books
Terrence J. Sejnowski
49 Papers
Gradient Descent for Spiking Neural Networks
(2018)
A Bayesian Framework for Tilt Perception and Confidence
(2005)
Assignment of Multiplicative Mixtures in Natural Images
(2004)
Handling Missing Data with Variational Bayesian Learning of ICA
(2002)
A Comparison of Image Processing Techniques for Visual Speech Recognition Applications
(2000)
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes
(2000)
Image Representations for Facial Expression Coding
(1999)
Predictive Sequence Learning in Recurrent Neocortical Circuits
(1999)
Analyzing and Visualizing Single-Trial Event-Related Potentials
(1998)
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
(1998)
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA
(1998)
Extended ICA Removes Artifacts from Electroencephalographic Recordings
(1997)
Learning Nonlinear Overcomplete Representations for Efficient Coding
(1997)
Bayesian Unsupervised Learning of Higher Order Structure
(1996)
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input
(1996)
Dynamic Features for Visual Speechreading: A Systematic Comparison
(1996)
Edges are the 'Independent Components' of Natural Scenes.
(1996)
Learning Decision Theoretic Utilities through Reinforcement Learning
(1996)
Selective Integration: A Model for Disparity Estimation
(1996)
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks
(1996)
A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex
(1995)
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect
(1995)
Classifying Facial Action
(1995)
Empirical Entropy Manipulation for Real-World Problems
(1995)
Independent Component Analysis of Electroencephalographic Data
(1995)
Optimizing Cortical Mappings
(1995)
Tempering Backpropagation Networks: Not All Weights are Created Equal
(1995)
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence
(1995)
A Mixture Model System for Medical and Machine Diagnosis
(1994)
A Non-linear Information Maximisation Algorithm that Performs Blind Separation
(1994)
A Novel Reinforcement Model of Birdsong Vocalization Learning
(1994)
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex
(1994)
Plasticity-Mediated Competitive Learning
(1994)
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl
(1994)
Spatial Representations in the Parietal Cortex May Use Basis Functions
(1994)
Foraging in an Uncertain Environment Using Predictive Hebbian Learning
(1993)
Processing of Visual and Auditory Space and Its Modification by Experience
(1993)
Temporal Difference Learning of Position Evaluation in the Game of Go
(1993)
Biologically Plausible Local Learning Rules for the Adaptation of the Vestibulo-Ocular Reflex
(1992)
Filter Selection Model for Generating Visual Motion Signals
(1992)
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
(1992)
Competitive Anti-Hebbian Learning of Invariants
(1991)
Hierarchical Transformation of Space in the Visual System
(1991)
Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance
(1991)
Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion
(1991)
Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility
(1989)
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech
(1989)
Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus
(1988)
A 'Neural' Network that Learns to Play Backgammon
(1987)