NIPS Proceedingsβ

Terrence J. Sejnowski

48 Papers

  • 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)