Advances in Neural Information Processing Systems 1 (NIPS 1988)

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• Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex Michael Paulin, Mark Nelson, James Bower
• Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators Zhaoping Li, John J. Hopfield
• Efficient Parallel Learning Algorithms for Neural Networks Alan Kramer, Alberto Sangiovanni-Vincentelli
• The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine Eyal Yair, Allen Gersho
• Neural Networks that Learn to Discriminate Similar Kanji Characters Yoshihiro Mori, Kazuhiko Yokosawa
• Computer Modeling of Associative Learning Daniel Alkon, Francis Quek, Thomas Vogl
• Links Between Markov Models and Multilayer Perceptrons Hervé Bourlard, C. J. Wellekens
• Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment Michael C. Mozer, Paul Smolensky
• A Passive Shared Element Analog Electrical Cochlea David Feld, Joe Eisenberg, Edwin Lewis
• Speech Production Using A Neural Network with a Cooperative Learning Mechanism Mitsuo Komura, Akio Tanaka
• Associative Learning via Inhibitory Search David Ackley
• Performance of a Stochastic Learning Microchip Joshua Alspector, Bhusan Gupta, Robert Allen
• Song Learning in Birds M. Konishi
• Modeling Small Oscillating Biological Networks in Analog VLSI Sylvie Ryckebusch, James Bower, Carver Mead
• Comparing Biases for Minimal Network Construction with Back-Propagation Stephen Hanson, Lorien Pratt
• What Size Net Gives Valid Generalization? Eric Baum, David Haussler
• A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons Jack Meador, Clint Cole
• Linear Learning: Landscapes and Algorithms Pierre Baldi
• Applications of Error Back-Propagation to Phonetic Classification Hong Leung, Victor W. Zue
• An Analog Self-Organizing Neural Network Chip James Mann, Sheldon Gilbert
• A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex Bill Baird
• Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments Randall Beer, Hillel Chiel, Leon S. Sterling
• Programmable Analog Pulse-Firing Neural Networks Alister Hamilton, Alan Murray, Lionel Tarassenko
• An Analog VLSI Chip for Thin-Plate Surface Interpolation John Harris
• Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish Brian Rasnow, Christopher Assad, Mark Nelson, James Bower
• Training Multilayer Perceptrons with the Extended Kalman Algorithm Sharad Singhal, Lance Wu
• An Electronic Photoreceptor Sensitive to Small Changes in Intensity Tobi Delbrück, C. A. Mead
• Training a 3-Node Neural Network is NP-Complete Avrim Blum, Ronald Rivest
• Automatic Local Annealing Jared Leinbach
• Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise Richard P. Lippmann, Paul Beckman
• Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule Martin Sereno
• GENESIS: A System for Simulating Neural Networks Matthew Wilson, Upinder Bhalla, John Uhley, James Bower
• Neural Architecture Valentino Braitenberg
• Learning by Choice of Internal Representations Tal Grossman, Ronny Meir, Eytan Domany
• Adaptive Neural Networks Using MOS Charge Storage Daniel Schwartz, R. Howard, Wayne Hubbard
• Implications of Recursive Distributed Representations Jordan Pollack
• Backpropagation and Its Application to Handwritten Signature Verification Timothy Wilkinson, Dorothy Mighell, Joseph Goodman
• Theory of Self-Organization of Cortical Maps Shigeru Tanaka
• An Adaptive Network That Learns Sequences of Transitions C. Winter
• Dynamics of Analog Neural Networks with Time Delay Charles Marcus, R. Westervelt
• On the K-Winners-Take-All Network E. Majani, Ruth Erlanson, Yaser Abu-Mostafa
• Does the Neuron "Learn" like the Synapse? Raoul Tawel
• Use of Multi-Layered Networks for Coding Speech with Phonetic Features Yoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi
• Electronic Receptors for Tactile/Haptic Sensing Andreas Andreou
• A Programmable Analog Neural Computer and Simulator Paul Mueller, Jan Van der Spiegel, David Blackman, Timothy Chiu, Thomas Clare, Joseph Dao, Christopher Donham, Tzu-pu Hsieh, Marc Loinaz
• An Information Theoretic Approach to Rule-Based Connectionist Expert Systems Rodney Goodman, John Miller, Padhraic Smyth
• A Connectionist Expert System that Actually Works Richard Fozzard, Gary Bradshaw, Louis Ceci
• Cricket Wind Detection John Miller
• ALVINN: An Autonomous Land Vehicle in a Neural Network Dean A. Pomerleau
• Fast Learning in Multi-Resolution Hierarchies John Moody
• Mapping Classifier Systems Into Neural Networks Lawrence Davis
• A Network for Image Segmentation Using Color Anya Hurlbert, Tomaso Poggio
• Training a Limited-Interconnect, Synthetic Neural IC M. Walker, S. Haghighi, A. Afghan, Larry Akers
• A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang, John Miller
• Temporal Representations in a Connectionist Speech System Erich Smythe
• Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control Phillip Alvelda, A. San Martin
• A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos
• Neural Net Receivers in Multiple Access-Communications Bernd-Peter Paris, Geoffrey Orsak, Mahesh Varanasi, Behnaam Aazhang
• A Computationally Robust Anatomical Model for Retinal Directional Selectivity Norberto Grzywacz, Franklin Amthor
• Statistical Prediction with Kanerva's Sparse Distributed Memory David Rogers
• Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James McClelland
• A Back-Propagation Algorithm with Optimal Use of Hidden Units Yves Chauvin
• GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection Yann Le Cun, Conrad Galland, Geoffrey E. Hinton
• A Self-Learning Neural Network Allan Hartstein, R. Koch
• Neural Networks for Model Matching and Perceptual Organization Eric Mjolsness, Gene Gindi, P. Anandan
• Neuronal Maps for Sensory-Motor Control in the Barn Owl Clay D. Spence, John Pearson, J. Gelfand, R. Peterson, W. Sullivan
• Performance of Synthetic Neural Network Classification of Noisy Radar Signals Stanley Ahalt, F. Garber, I. Jouny, Ashok Krishnamurthy
• Connectionist Learning of Expert Preferences by Comparison Training Gerald Tesauro
• Winner-Take-All Networks of O(N) Complexity J. Lazzaro, S. Ryckebusch, M.A. Mahowald, C. A. Mead
• Neural Network Recognizer for Hand-Written Zip Code Digits John Denker, W. Gardner, Hans Graf, Donnie Henderson, R. Howard, W. Hubbard, L. D. Jackel, Henry Baird, Isabelle Guyon
• Analog Implementation of Shunting Neural Networks Bahram Nabet, Robert Darling, Robert Pinter
• Range Image Restoration Using Mean Field Annealing Griff Bilbro, Wesley Snyder
• Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks David Touretzky
• Neural Approach for TV Image Compression Using a Hopfield Type Network Martine Naillon, Jean-Bernard Theeten
• Speech Recognition: Statistical and Neural Information Processing Approaches John Bridle
• Convergence and Pattern-Stabilization in the Boltzmann Machine Moshe Kam, Roger Cheng
• Models of Ocular Dominance Column Formation: Analytical and Computational Results Kenneth Miller, Joseph Keller, Michael Stryker
• Digital Realisation of Self-Organising Maps Nigel Allinson, Martin Johnson, Kevin Moon
• Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter Bartlett Mel
• Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad, Gerald Tesauro
• A Model of Neural Oscillator for a Unified Submodule Alexandr Kirillov, G. N. Borisyuk, R. M. Borisyuk, Ye. Kovalenko, V. Makarenko, V. Chulaevsky, V. Kryukov
• An Optimality Principle for Unsupervised Learning Terence Sanger
• Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen Waxman, Michael Seibert, Robert Cunningham, Jian Wu
• Optimization by Mean Field Annealing Griff Bilbro, Reinhold Mann, Thomas Miller, Wesley Snyder, David van den Bout, Mark White
• An Application of the Principle of Maximum Information Preservation to Linear Systems Ralph Linsker
• Spreading Activation over Distributed Microfeatures James Hendler
• Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural Networks Alex Waibel
• Constraints on Adaptive Networks for Modeling Human Generalization Mark Gluck, M. Pavel, Van Henkle
• Self Organizing Neural Networks for the Identification Problem Manoel Tenorio, Wei-Tsih Lee
• Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems David Parker, Mark Gluck, Eric Reifsnider
• Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II Kenneth Goldberg, Barak Pearlmutter
• Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric Stanton, Terrence J. Sejnowski
• Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding Trent Lange, Michael Dyer
• Fixed Point Analysis for Recurrent Networks Patrice Simard, Mary Ottaway, Dana Ballard