Edited by: *R.P. Lippmann and J. Moody and D. Touretzky*

- Modeling Time Varying Systems Using Hidden Control Neural Architecture
*Esther Levin* - Using Genetic Algorithms to Improve Pattern Classification Performance
*Eric Chang, Richard P. Lippmann* - Generalization Dynamics in LMS Trained Linear Networks
*Yves Chauvin* - Optimal Filtering in the Salamander Retina
*Fred Rieke, W. Owen, William Bialek* - Oscillation Onset in Neural Delayed Feedback
*André Longtin* - Relaxation Networks for Large Supervised Learning Problems
*Joshua Alspector, Robert Allen, Anthony Jayakumar, Torsten Zeppenfeld, Ronny Meir* - Neural Networks Structured for Control Application to Aircraft Landing
*Charles Schley, Yves Chauvin, Van Henkle, Richard Golden* - Closed-Form Inversion of Backpropagation Networks: Theory and Optimization Issues
*Michael Rossen* - Dynamics of Generalization in Linear Perceptrons
*Anders Krogh, John Hertz* - Translating Locative Prepositions
*Paul Munro, Mary Tabasko* - Adaptive Spline Networks
*Jerome Friedman* - An Analog VLSI Chip for Finding Edges from Zero-crossings
*Wyeth Bair, Christof Koch* - Comparison of three classification techniques: CART, C4.5 and Multi-Layer Perceptrons
*A. C. Tsoi, R. Pearson* - ART2/BP architecture for adaptive estimation of dynamic processes
*Einar Sørheim* - Self-organization of Hebbian Synapses in Hippocampal Neurons
*Thomas Brown, Zachary Mainen, Anthony Zador, Brenda Claiborne* - Connection Topology and Dynamics in Lateral Inhibition Networks
*C.M Marcus, F. Waugh, R. Westervelt* - A Delay-Line Based Motion Detection Chip
*Tim Horiuchi, John Lazzaro, Andrew Moore, Christof Koch* - Back Propagation is Sensitive to Initial Conditions
*John Kolen, Jordan Pollack* - Applications of Neural Networks in Video Signal Processing
*John Pearson, Clay D. Spence, Ronald Sverdlove* - Grouping Contours by Iterated Pairing Network
*Amnon Shashua, Shimon Ullman* - Simulation of the Neocognitron on a CCD Parallel Processing Architecture
*Michael Chuang, Alice Chiang* - Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons
*Thomas Kepler, L. Abbott, Eve Marder* - Note on Learning Rate Schedules for Stochastic Optimization
*Christian Darken, John Moody* - Remarks on Interpolation and Recognition Using Neural Nets
*Eduardo Sontag* - Rapidly Adapting Artificial Neural Networks for Autonomous Navigation
*Dean Pomerleau* - A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings
*Robert Allen, Candace Kamm* - Adjoint-Functions and Temporal Learning Algorithms in Neural Networks
*N. Toomarian, J. Barhen* - Language Induction by Phase Transition in Dynamical Recognizers
*Jordan Pollack* - Chaitin-Kolmogorov Complexity and Generalization in Neural Networks
*Barak Pearlmutter, Ronald Rosenfeld* - VLSI Implementations of Learning and Memory Systems: A Review
*Mark Holler* - Neural Dynamics of Motion Segmentation and Grouping
*Ennio Mingolla* - Exploratory Feature Extraction in Speech Signals
*Nathan Intrator* - Constructing Hidden Units using Examples and Queries
*Eric Baum, Kevin Lang* - Analog Neural Networks as Decoders
*Ruth Erlanson, Yaser Abu-Mostafa* - A Reinforcement Learning Variant for Control Scheduling
*Aloke Guha* - Kohonen Networks and Clustering: Comparative Performance in Color Clustering
*Wesley Snyder, Daniel Nissman, David Van den Bout, Griff Bilbro* - Reconfigurable Neural Net Chip with 32K Connections
*H. P. Graf, R. Janow, D. Henderson, R. Lee* - e-Entropy and the Complexity of Feedforward Neural Networks
*Robert C. Williamson* - Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples
*Federico Girosi, Tomaso Poggio, Bruno Caprile* - Stochastic Neurodynamics
*J.D. Cowan* - Phonetic Classification and Recognition Using the Multi-Layer Perceptron
*Hong Leung, James Glass, Michael Phillips, Victor W. Zue* - Learning Trajectory and Force Control of an Artificial Muscle Arm by Parallel-hierarchical Neural Network Model
*Masazumi Katayama, Mitsuo Kawato* - Basis-Function Trees as a Generalization of Local Variable Selection Methods for Function Approximation
*Terence Sanger* - A Short-Term Memory Architecture for the Learning of Morphophonemic Rules
*Michael Gasser, Chan-Do Lee* - Associative Memory in a Network of `Biological' Neurons
*Wulfram Gerstner* - Oriented Non-Radial Basis Functions for Image Coding and Analysis
*Avijit Saha, Jim Christian, Dun-Sung Tang, Wu Chuan-Lin* - Evaluation of Adaptive Mixtures of Competing Experts
*Steven Nowlan, Geoffrey E. Hinton* - Spoken Letter Recognition
*Mark Fanty, Ronald Cole* - Design and Implementation of a High Speed CMAC Neural Network Using Programmable CMOS Logic Cell Arrays
*W. Miller, Brian Box, Erich Whitney, James Glynn* - Shaping the State Space Landscape in Recurrent Networks
*Patrice Simard, Jean Raysz, Bernard Victorri* - EMPATH: Face, Emotion, and Gender Recognition Using Holons
*Garrison Cottrell, Janet Metcalfe* - Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways During Development
*Shigeru Tanaka* - Phase-coupling in Two-Dimensional Networks of Interacting Oscillators
*Ernst Niebur, Daniel Kammen, Christof Koch, Daniel Ruderman, Heinz Schuster* - An Analog VLSI Splining Network
*Daniel Schwartz, Vijay Samalam* - Designing Linear Threshold Based Neural Network Pattern Classifiers
*Terrence L. Fine* - Qualitative structure from motion
*Daphna Weinshall* - Learning to See Rotation and Dilation with a Hebb Rule
*Martin Sereno, Margaret Sereno* - A Comparative Study of the Practical Characteristics of Neural Network and Conventional Pattern Classifiers
*Kenney Ng, Richard P. Lippmann* - Real-time autonomous robot navigation using VLSI neural networks
*Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan Murray* - CAM Storage of Analog Patterns and Continuous Sequences with 3N2 Weights
*Bill Baird, Frank Eeckman* - Generalization Properties of Radial Basis Functions
*Sherif Botros, Christopher Atkeson* - Learning Time-varying Concepts
*Anthony Kuh, Thomas Petsche, Ronald Rivest* - A Theory for Neural Networks with Time Delays
*Bert de Vries, José Príncipe* - Natural Dolphin Echo Recognition Using an Integrator Gateway Network
*Herbert Roitblat, Patrick Moore, Paul Nachtigall, Ralph Penner* - Compact EEPROM-based Weight Functions
*A. Kramer, C. Sin, R. Chu, P. Ko* - Discovering Viewpoint-Invariant Relationships That Characterize Objects
*Richard Zemel, Geoffrey E. Hinton* - Reinforcement Learning in Markovian and Non-Markovian Environments
*Jürgen Schmidhuber* - Second Order Properties of Error Surfaces: Learning Time and Generalization
*Yann LeCun, Ido Kanter, Sara Solla* - Connectionist Music Composition Based on Melodic and Stylistic Constraints
*Michael C. Mozer, Todd Soukup* - Transforming Neural-Net Output Levels to Probability Distributions
*John Denker, Yann LeCun* - Can neural networks do better than the Vapnik-Chervonenkis bounds?
*David Cohn, Gerald Tesauro* - Discovering Discrete Distributed Representations with Iterative Competitive Learning
*Michael C. Mozer* - A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis
*Yoichi Hayashi* - Leaning by Combining Memorization and Gradient Descent
*John Platt* - A Neural Network Approach for Three-Dimensional Object Recognition
*Volker Tresp* - Distributed Recursive Structure Processing
*Geraldine Legendre, Yoshiro Miyata, Paul Smolensky* - Dynamics of Learning in Recurrent Feature-Discovery Networks
*Todd Leen* - Navigating through Temporal Difference
*Peter Dayan* - On the Circuit Complexity of Neural Networks
*V. P. Roychowdhury, K. Y. Siu, A. Orlitsky, T. Kailath* - An Attractor Neural Network Model of Recall and Recognition
*Eytan Ruppin, Yehezkel Yeshurun* - Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences
*Michiel Noordewier, Geoffrey Towell, Jude Shavlik* - ALCOVE: A Connectionist Model of Human Category Learning
*John Kruschke* - Multi-Layer Perceptrons with B-Spline Receptive Field Functions
*Stephen Lane, Marshall Flax, David Handelman, Jack Gelfand* - Bumptrees for Efficient Function, Constraint and Classification Learning
*Stephen Omohundro* - Planning with an Adaptive World Model
*Sebastian Thrun, Knut Möller, Alexander Linden* - Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches
*J.D. Cowan, A. Friedman* - A Multiscale Adaptive Network Model of Motion Computation in Primates
*H. Wang, Bimal Mathur, Christof Koch* - Spherical Units as Dynamic Consequential Regions: Implications for Attention, Competition and Categorization
*Stephen Hanson, Mark Gluck* - Speech Recognition Using Connectionist Approaches
*Khalid Choukri* - Feedback Synapse to Cone and Light Adaptation
*Josef Skrzypek* - Direct memory access using two cues: Finding the intersection of sets in a connectionist model
*Janet Wiles, Michael Humphreys, John Bain, Simon Dennis* - Flight Control in the Dragonfly: A Neurobiological Simulation
*William Faller, Marvin Luttges* - A Framework for the Cooperation of Learning Algorithms
*Léon Bottou, Patrick Gallinari* - Continuous Speech Recognition by Linked Predictive Neural Networks
*Joe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer* - A B-P ANN Commodity Trader
*Joseph Collard* - Statistical Mechanics of Temporal Association in Neural Networks
*Andreas Herz, Zhaoping Li, J. van Hemmen* - Cholinergic Modulation May Enhance Cortical Associative Memory Function
*Michael Hasselmo, Brooke Anderson, James Bower* - Neural Network Application to Diagnostics and Control of Vehicle Control Systems
*Kenneth Marko* - Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution
*Ron Keesing, David Stork* - A Lagrangian Approach to Fixed Points
*Eric Mjolsness, Willard Miranker* - Neural Network Implementation of Admission Control
*Rodolfo Milito, Isabelle Guyon, Sara Solla* - Computing with Arrays of Bell-Shaped and Sigmoid Functions
*Pierre Baldi* - VLSI Implementation of TInMANN
*Matt Melton, Tan Phan, Doug Reeves, Dave Van den Bout* - SEXNET: A Neural Network Identifies Sex From Human Faces
*B.A. Golomb, D.T. Lawrence, T.J. Sejnowski* - From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems
*Victor Zue, James Glass, David Goodine, Lynette Hirschman, Hong Leung, Michael Phillips, Joseph Polifroni, Stephanie Seneff* - Generalization by Weight-Elimination with Application to Forecasting
*Andreas Weigend, David Rumelhart, Bernardo Huberman* - A Novel Approach to Prediction of the 3-Dimensional Structures of Protein Backbones by Neural Networks
*Henrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney Cotterill, Benny Lautrup, Steffen Petersen* - Back Propagation Implementation on the Adaptive Solutions CNAPS Neurocomputer Chip
*Hal McCartor* - Asymptotic slowing down of the nearest-neighbor classifier
*Robert Snapp, Demetri Psaltis, Santosh Venkatesh* - Connectionist Approaches to the Use of Markov Models for Speech Recognition
*Hervé Bourlard, Nelson Morgan, Chuck Wooters* - A Second-Order Translation, Rotation and Scale Invariant Neural Network
*Shelly Goggin, Kristina Johnson, Karl Gustafson* - Signal Processing by Multiplexing and Demultiplexing in Neurons
*David Tam* - Lg Depth Estimation and Ripple Fire Characterization Using Artificial Neural Networks
*John Perry, Douglas Baumgardt* - Adaptive Range Coding
*Bruce Rosen, James Goodwin, Jacques Vidal* - RecNorm: Simultaneous Normalisation and Classification applied to Speech Recognition
*John Bridle, Stephen J. Cox* - A four neuron circuit accounts for change sensitive inhibition in salamander retina
*Jeffrey Teeters, Frank Eeckman, Frank Werblin* - A Method for the Efficient Design of Boltzmann Machines for Classiffication Problems
*Ajay Gupta, Wolfgang Maass* - How Receptive Field Parameters Affect Neural Learning
*Bartlett Mel, Stephen Omohundro* - Proximity Effect Corrections in Electron Beam Lithography Using a Neural Network
*Robert Frye, Kevin Cummings, Edward Rietman* - Exploiting Syllable Structure in a Connectionist Phonology Model
*David Touretzky, Deirdre Wheeler* - Integrated Modeling and Control Based on Reinforcement Learning and Dynamic Programming
*Richard S. Sutton* - A Connectionist Learning Control Architecture for Navigation
*Jonathan R. Bachrach* - On Stochastic Complexity and Admissible Models for Neural Network Classifiers
*Padhraic Smyth* - Analog Computation at a Critical Point: A Novel Function for Neuronal Oscillations?
*Leonid Kruglyak, William Bialek* - Integrated Segmentation and Recognition of Hand-Printed Numerals
*James Keeler, David Rumelhart, Wee Leow* - Speech Recognition Using Demi-Syllable Neural Prediction Model
*Ken-ichi Iso, Takao Watanabe* - A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex
*Thomas Anastasio* - The Devil and the Network: What Sparsity Implies to Robustness and Memory
*Sanjay Biswas, Santosh Venkatesh* - Development and Spatial Structure of Cortical Feature Maps: A Model Study
*Klaus Obermayer, Helge Ritter, Klaus Schulten* - Connectionist Implementation of a Theory of Generalization
*Roger Shepard, Sheila Kannappan* - Discrete Affine Wavelet Transforms For Anaylsis And Synthesis Of Feedfoward Neural Networks
*Y. Pati, P. Krishnaprasad* - Convergence of a Neural Network Classifier
*John Baras, Anthony LaVigna* - Optimal Sampling of Natural Images: A Design Principle for the Visual System
*William Bialek, Daniel Ruderman, A. Zee* - Time Trials on Second-Order and Variable-Learning-Rate Algorithms
*Richard Rohwer* - A competitive modular connectionist architecture
*Robert Jacobs, Michael Jordan* - A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn
*R.D. Beer, G. Kacmarcik, R.E. Ritzmann, H.J. Chiel* - A VLSI Neural Network for Color Constancy
*Andrew Moore, John Allman, Geoffrey Fox, Rodney Goodman* - Stereopsis by a Neural Network Which Learns the Constraints
*Alireza Khotanzad, Ying-Wung Lee* - The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning
*Ulrich Bodenhausen, Alex Waibel* - Learning Theory and Experiments with Competitive Networks
*Griff Bilbro, David van den Bout* - Further Studies of a Model for the Development and Regeneration of Eye-Brain Maps
*Jack Cowan, A. Friedman* - The Recurrent Cascade-Correlation Architecture
*Scott Fahlman* - Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction
*V. Kadirkamanathan, M. Niranjan, F. Fallside*

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