Advances in Neural Information Processing Systems 1

NIPS 1988

Edited by D. Touretzky

94 papers

Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex Michael G. Paulin, Mark E. Nelson, James M. Bower
Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators Zhaoping Li, John J. Hopfield
Efficient Parallel Learning Algorithms for Neural Networks Alan H. 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 L. Alkon, Francis K. H. Quek, Thomas P. 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 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 H. Ackley
Performance of a Stochastic Learning Microchip Joshua Alspector, Bhusan Gupta, Robert B. Allen
Song Learning in Birds M. Konishi
Modeling Small Oscillating Biological Networks in Analog VLSI Sylvie Ryckebusch, James M. Bower, Carver Mead
Comparing Biases for Minimal Network Construction with Back-Propagation Stephen Jose Hanson, Lorien Y. Pratt
What Size Net Gives Valid Generalization? Eric B. Baum, David Haussler
A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons Jack L. Meador, Clint S. Cole
Linear Learning: Landscapes and Algorithms Pierre Baldi
Applications of Error Back-Propagation to Phonetic Classification Hong C. Leung, Victor W. Zue
An Analog Self-Organizing Neural Network Chip James R. 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 D. Beer, Hillel J. Chiel, Leon S. Sterling
Programmable Analog Pulse-Firing Neural Networks Alister Hamilton, Alan F. Murray, Lionel Tarassenko
An Analog VLSI Chip for Thin-Plate Surface Interpolation John G. Harris
Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish Brian Rasnow, Christopher Assad, Mark E. Nelson, James M. 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 L. 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 I. Sereno
GENESIS: A System for Simulating Neural Networks Matthew A. Wilson, Upinder S. Bhalla, John D. Uhley, James M. 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 B. Schwartz, R. E. Howard, Wayne E. Hubbard
Implications of Recursive Distributed Representations Jordan B. Pollack
Backpropagation and Its Application to Handwritten Signature Verification Timothy S. Wilkinson, Dorothy A. Mighell, Joseph W. Goodman
Theory of Self-Organization of Cortical Maps Shigeru Tanaka
An Adaptive Network That Learns Sequences of Transitions C. L. Winter
Dynamics of Analog Neural Networks with Time Delay Charles M. Marcus, R. M. Westervelt
On the K-Winners-Take-All Network E. Majani, Ruth Erlanson, Yaser S. 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 G. 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 M. Goodman, John W. Miller, Padhraic Smyth
A Connectionist Expert System that Actually Works Richard Fozzard, Gary Bradshaw, Louis Ceci
Cricket Wind Detection John P. 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. R. Walker, S. Haghighi, A. Afghan, Larry A. Akers
A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang, John P. Miller
Temporal Representations in a Connectionist Speech System Erich J. Smythe
Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control Phillip Alvelda, A. Miguel San Martin
A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos Jr.
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 M. Grzywacz, Franklin R. Amthor
Statistical Prediction with Kanerva's Sparse Distributed Memory David Rogers
Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. 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 C. Galland, Geoffrey E. Hinton
A Self-Learning Neural Network Allan Hartstein, R. H. 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 C. Pearson, J. J. Gelfand, R. M. Peterson, W. E. Sullivan
Performance of Synthetic Neural Network Classification of Noisy Radar Signals Stanley C. Ahalt, F. D. Garber, I. Jouny, Ashok K. 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 S. Denker, W. R. Gardner, Hans Peter Graf, Donnie Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, Henry S. Baird, Isabelle Guyon
Analog Implementation of Shunting Neural Networks Bahram Nabet, Robert B. Darling, Robert B. Pinter
Range Image Restoration Using Mean Field Annealing Griff L. Bilbro, Wesley E. Snyder
Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks David S. 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 S. Bridle
Convergence and Pattern-Stabilization in the Boltzmann Machine Moshe Kam, Roger Cheng
Models of Ocular Dominance Column Formation: Analytical and Computational Results Kenneth D. Miller, Joseph B. Keller, Michael P. Stryker
Digital Realisation of Self-Organising Maps Nigel M. Allinson, Martin J. Johnson, Kevin J. Moon
Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter Bartlett W. Mel
Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad, Gerald Tesauro
A Model of Neural Oscillator for a Unified Submodule Alexandr B. Kirillov, G. N. Borisyuk, R. M. Borisyuk, Ye. I. Kovalenko, V. I. Makarenko, V. A. Chulaevsky, V. I. Kryukov
An Optimality Principle for Unsupervised Learning Terence D. Sanger
Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen M. Waxman, Michael Seibert, Robert K. Cunningham, Jian Wu
Optimization by Mean Field Annealing Griff Bilbro, Reinhold Mann, Thomas K. Miller, Wesley E. Snyder, David E. 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 A. Gluck, M. Pavel, Van Henkle
Self Organizing Neural Networks for the Identification Problem Manoel Fernando Tenorio, Wei-Tsih Lee
Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems David B. Parker, Mark Gluck, Eric S. Reifsnider
Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II Kenneth Y. Goldberg, Barak A. Pearlmutter
Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric K. Stanton, Terrence J. Sejnowski
Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding Trent E. Lange, Michael G. Dyer
Fixed Point Analysis for Recurrent Networks Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard

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