Edited by: *D. Touretzky*

- Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem
*Sheri Gish, W. Blanz* - Analog Circuits for Constrained Optimization
*John Platt* - Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters
*John Bridle* - Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment
*William Softky, Daniel Kammen* - Development and Regeneration of Eye-Brain Maps: A Computational Model
*Jack Cowan, A. Friedman* - Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms
*David Rogers* - Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech
*Shawn Lockery, Yan Fang, Terrence J. Sejnowski* - A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats
*Maurice Lee, James Bower* - Generalization and Scaling in Reinforcement Learning
*David Ackley, Michael Littman* - Neural Network Weight Matrix Synthesis Using Optimal Control Techniques
*O. Farotimi, Amir Dembo, Thomas Kailath* - Collective Oscillations in the Visual Cortex
*Daniel Kammen, Christof Koch, Philip Holmes* - Neural Networks: The Early Days
*Jack Cowan* - Operational Fault Tolerance of CMAC Networks
*Michael Carter, Franklin Rudolph, Adam Nucci* - Effects of Firing Synchrony on Signal Propagation in Layered Networks
*G. Kenyon, Eberhard Fetz, R. Puff* - Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images
*James Simmons* - Time Dependent Adaptive Neural Networks
*Fernando Pineda* - Neural Network Visualization
*Jakub Wejchert, Gerald Tesauro* - Discovering the Structure of a Reactive Environment by Exploration
*Michael C. Mozer, Jonathan Bachrach* - A Self-organizing Associative Memory System for Control Applications
*Michael Hormel* - Complexity of Finite Precision Neural Network Classifier
*Amir Dembo, Kai-Yeung Siu, Thomas Kailath* - Neuronal Group Selection Theory: A Grounding in Robotics
*Jim Donnett, Tim Smithers* - Dimensionality Reduction and Prior Knowledge in E-Set Recognition
*Kevin Lang, Geoffrey E. Hinton* - A self-organizing multiple-view representation of 3D objects
*Daphna Weinshall, Shimon Edelman, Heinrich Bülthoff* - Associative Memory in a Simple Model of Oscillating Cortex
*Bill Baird* - Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks
*Jacob Barhen, Nikzad Toomarian, Sandeep Gulati* - Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks
*Matthew Wilson, James Bower* - Coupled Markov Random Fields and Mean Field Theory
*Davi Geiger, Federico Girosi* - Pulse-Firing Neural Chips for Hundreds of Neurons
*Michael Brownlow, Lionel Tarassenko, Alan Murray, Alister Hamilton, Il Han, H. Reekie* - Rule Representations in a Connectionist Chunker
*David Touretzky, Gillette Elvgreen* - A Neural Network for Real-Time Signal Processing
*Donald Malkoff* - Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge
*Yoshua Bengio, Renato de Mori, Régis Cardin* - Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net
*Dun-Sung Tang* - An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex
*Stephen DeWeerth, Carver Mead* - A Reconfigurable Analog VLSI Neural Network Chip
*Srinagesh Satyanarayana, Yannis Tsividis, Hans Graf* - Handwritten Digit Recognition with a Back-Propagation Network
*Yann LeCun, Bernhard Boser, John Denker, Donnie Henderson, R. Howard, Wayne Hubbard, Lawrence Jackel* - Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks
*Alexander Moopenn, T. Duong, A. Thakoor* - Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps?
*Mark Nelson, James Bower* - A Cost Function for Internal Representations
*Anders Krogh, C. Thorbergsson, John Hertz* - HMM Speech Recognition with Neural Net Discrimination
*William Huang, Richard P. Lippmann* - The Effects of Circuit Integration on a Feature Map Vector Quantizer
*Jim Mann* - Generalization and Parameter Estimation in Feedforward Nets: Some Experiments
*N. Morgan, H. Bourlard* - VLSI Implementation of a High-Capacity Neural Network Associative Memory
*Tzi-Dar Chiueh, Rodney Goodman* - The Cascade-Correlation Learning Architecture
*Scott Fahlman, Christian Lebiere* - Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning
*Bartlett Mel, Christof Koch* - Optimal Brain Damage
*Yann LeCun, John Denker, Sara Solla* - Learning Aspect Graph Representations from View Sequences
*Michael Seibert, Allen Waxman* - The Effect of Catecholamines on Performance: From Unit to System Behavior
*David Servan-Schreiber, Harry Printz, Jonathan D. Cohen* - Meiosis Networks
*Stephen Hanson* - Synergy of Clustering Multiple Back Propagation Networks
*William Lincoln, Josef Skrzypek* - Incremental Parsing by Modular Recurrent Connectionist Networks
*Ajay Jain, Alex Waibel* - Reading a Neural Code
*William Bialek, Fred Rieke, Robert van Steveninck, David Warland* - A Method for the Associative Storage of Analog Vectors
*Amir Atiya, Yaser Abu-Mostafa* - Using Local Models to Control Movement
*Christopher Atkeson* - Learning to Control an Unstable System with Forward Modeling
*Michael Jordan, Robert Jacobs* - Learning in Higher-Order "Artificial Dendritic Trees
*Tony Bell* - Dynamic Behavior of Constained Back-Propagation Networks
*Yves Chauvin* - Designing Application-Specific Neural Networks Using the Genetic Algorithm
*Steven Harp, Tariq Samad, Aloke Guha* - A Computational Basis for Phonology
*David Touretzky, Deirdre Wheeler* - Neural Network Simulation of Somatosensory Representational Plasticity
*Kamil Grajski, Michael Merzenich* - A Neural Network for Feature Extraction
*Nathan Intrator* - Generalized Hopfield Networks and Nonlinear Optimization
*Gintaras Reklaitis, Athanasios Tsirukis, Manoel Tenorio* - Connectionist Architectures for Multi-Speaker Phoneme Recognition
*John Hampshire, Alex Waibel* - Bayesian Inference of Regular Grammar and Markov Source Models
*Kurt Smith, Michael Miller* - Dataflow Architectures: Flexible Platforms for Neural Network Simulation
*Ira Smotroff* - The Perceptron Algorithm Is Fast for Non-Malicious Distributions
*Eric Baum* - Discovering High Order Features with Mean Field Modules
*Conrad Galland, Geoffrey E. Hinton* - Sequential Decision Problems and Neural Networks
*A. G. Barto, R. S. Sutton, C. J. C. H. Watkins* - Asymptotic Convergence of Backpropagation: Numerical Experiments
*Subutai Ahmad, Gerald Tesauro, Yu He* - Training Connectionist Networks with Queries and Selective Sampling
*Les Atlas, David Cohn, Richard Ladner* - Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach
*Michail Zak, Nikzad Toomarian* - A Continuous Speech Recognition System Embedding MLP into HMM
*Hervé Bourlard, Nelson Morgan* - Analysis of Linsker's Simulations of Hebbian Rules
*David MacKay, Kenneth Miller* - Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions
*Zoran Obradovic, Ian Parberry* - A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes
*Paul Rhodes* - Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks
*David Zipser* - Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect
*Randall Beer, Hillel Chiel* - A Neural Network to Detect Homologies in Proteins
*Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin* - Higher Order Recurrent Networks and Grammatical Inference
*C. Giles, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee, Dong Chen* - Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems
*Yuchun Lee, Richard P. Lippmann* - Contour-Map Encoding of Shape for Early Vision
*Pentti Kanerva* - Maximum Likelihood Competitive Learning
*Steven Nowlan* - Note on Development of Modularity in Simple Cortical Models
*Alex Chernajvsky, John Moody* - Model Based Image Compression and Adaptive Data Representation by Interacting Filter Banks
*Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui, Sei Miyake* - On the Distribution of the Number of Local Minima of a Random Function on a Graph
*Pierre Baldi, Yosef Rinott, Charles Stein* - Using a Translation-Invariant Neural Network to Diagnose Heart Arrhythmia
*Susan Lee* - Non-Boltzmann Dynamics in Networks of Spiking Neurons
*Michael Crair, William Bialek* - The "Moving Targets" Training Algorithm
*Richard Rohwer* - Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications
*Les Atlas, Ronald Cole, Jerome Connor, Mohamed El-Sharkawi, Robert Marks, Yeshwant Muthusamy, Etienne Barnard* - An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2
*Xiru Zhang, Michael McKenna, Jill Mesirov, David Waltz* - Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks
*Avijit Saha, James Keeler* - The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN
*John Kassebaum, Manoel Tenorio, Christoph Schaefers* - Real-Time Computer Vision and Robotics Using Analog VLSI Circuits
*Christof Koch, Wyeth Bair, John Harris, Timothy Horiuchi, Andrew Hsu, Jin Luo* - The CHIR Algorithm for Feed Forward Networks with Binary Weights
*Tal Grossman* - A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters
*Yoshihiro Mori, Kazuki Joe* - Mechanisms for Neuromodulation of Biological Neural Networks
*Ronald Harris-Warrick* - Recognizing Hand-Printed Letters and Digits
*Gale Martin, James Pittman* - TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations
*Richard Zemel, Michael C. Mozer, Geoffrey E. Hinton* - Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays
*Fernando Nuñez, José Fortes* - Neurally Inspired Plasticity in Oculomotor Processes
*Paul Viola* - Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility
*Terrence J. Sejnowski, Ben Yuhas, Moise Goldstein, Robert Jenkins* - The Computation of Sound Source Elevation in the Barn Owl
*Clay D. Spence, John Pearson*

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