NeurIPS 1988

94 papers

A Back-Propagation Algorithm with Optimal Use of Hidden Units Yves Chauvin

A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex Bill Baird

A Computationally Robust Anatomical Model for Retinal Directional Selectivity Norberto M. Grzywacz, Franklin R. Amthor

A Connectionist Expert System That Actually Works Richard Fozzard, Gary Bradshaw, Louis Ceci

A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons Jack L. Meador, Clint S. Cole

A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos Jr.

A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang, John P. Miller

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

A Network for Image Segmentation Using Color Anya Hurlbert, Tomaso Poggio

A Passive Shared Element Analog Electrical Cochlea David Feld, Joe Eisenberg, Edwin Lewis

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

A Self-Learning Neural Network Allan Hartstein, R. H. Koch

Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise Richard P Lippmann, Paul Beckman

Adaptive Neural Networks Using MOS Charge Storage Daniel B. Schwartz, R. E. Howard, Wayne E. Hubbard

ALVINN: An Autonomous Land Vehicle in a Neural Network Dean A. Pomerleau

An Adaptive Network That Learns Sequences of Transitions C. L. Winter

An Analog Self-Organizing Neural Network Chip James R. Mann, Sheldon Gilbert

An Analog VLSI Chip for Thin-Plate Surface Interpolation John G. Harris

An Application of the Principle of Maximum Information Preservation to Linear Systems Ralph Linsker

An Electronic Photoreceptor Sensitive to Small Changes in Intensity Tobi Delbrück, C. A. Mead

An Information Theoretic Approach to Rule-Based Connectionist Expert Systems Rodney M. Goodman, John W. Miller, Padhraic Smyth

An Optimality Principle for Unsupervised Learning Terence D. Sanger

Analog Implementation of Shunting Neural Networks Bahram Nabet, Robert B. Darling, Robert B. Pinter

Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks David S. Touretzky

Applications of Error Back-Propagation to Phonetic Classification Hong C. Leung, Victor W. Zue

Associative Learning via Inhibitory Search David H. Ackley

Automatic Local Annealing Jared Leinbach

Backpropagation and Its Application to Handwritten Signature Verification Timothy S. Wilkinson, Dorothy A. Mighell, Joseph W. Goodman

Comparing Biases for Minimal Network Construction with Back-Propagation Stephen Jose Hanson, Lorien Y. Pratt

Computer Modeling of Associative Learning Daniel L. Alkon, Francis K. H. Quek, Thomas P. Vogl

Connectionist Learning of Expert Preferences by Comparison Training Gerald Tesauro

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

Convergence and Pattern-Stabilization in the Boltzmann Machine Moshe Kam, Roger Cheng

Cricket Wind Detection John P. Miller

Digital Realisation of Self-Organising Maps Nigel M. Allinson, Martin J. Johnson, Kevin J. Moon

Does the Neuron "Learn" like the Synapse? Raoul Tawel

Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding Trent E. Lange, Michael G. Dyer

Dynamics of Analog Neural Networks with Time Delay Charles M. Marcus, R. M. Westervelt

Efficient Parallel Learning Algorithms for Neural Networks Alan H. Kramer, Alberto Sangiovanni-Vincentelli

Electronic Receptors for Tactile/Haptic Sensing Andreas G. Andreou

Fast Learning in Multi-Resolution Hierarchies John Moody

Fixed Point Analysis for Recurrent Networks Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard

Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter Bartlett W. Mel

GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection Yann Le Cun, Conrad C. Galland, Geoffrey E. Hinton

GENESIS: A System for Simulating Neural Networks Matthew A. Wilson, Upinder S. Bhalla, John D. Uhley, James M. Bower

Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments Randall D. Beer, Hillel J. Chiel, Leon S. Sterling

Implications of Recursive Distributed Representations Jordan B. Pollack

Learning by Choice of Internal Representations Tal Grossman, Ronny Meir, Eytan Domany

Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. McClelland

Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule Martin I. Sereno

Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems David B. Parker, Mark Gluck, Eric S. Reifsnider

Linear Learning: Landscapes and Algorithms Pierre Baldi

Links Between Markov Models and Multilayer Perceptrons Hervé Bourlard, C. J. Wellekens

Mapping Classifier Systems into Neural Networks Lawrence Davis

Modeling Small Oscillating Biological Networks in Analog VLSI Sylvie Ryckebusch, James M. Bower, Carver Mead

Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators Zhaoping Li, John J. Hopfield

Models of Ocular Dominance Column Formation: Analytical and Computational Results Kenneth D. Miller, Joseph B. Keller, Michael P. Stryker

Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen M. Waxman, Michael Seibert, Robert K. Cunningham, Jian Wu

Neural Approach for TV Image Compression Using a Hopfield Type Network Martine Naillon, Jean-Bernard Theeten

Neural Architecture Valentino Braitenberg

Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex Michael G. Paulin, Mark E. Nelson, James M. Bower

Neural Net Receivers in Multiple Access-Communications Bernd-Peter Paris, Geoffrey Orsak, Mahesh Varanasi, Behnaam Aazhang

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

Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control Phillip Alvelda, A. Miguel San Martin

Neural Networks for Model Matching and Perceptual Organization Eric Mjolsness, Gene Gindi, P. Anandan

Neural Networks That Learn to Discriminate Similar Kanji Characters Yoshihiro Mori, Kazuhiko Yokosawa

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

On the K-Winners-Take-All Network E. Majani, Ruth Erlanson, Yaser S. Abu-Mostafa

Optimization by Mean Field Annealing Griff Bilbro, Reinhold Mann, Thomas K. Miller, Wesley E. Snyder, David E. van den Bout, Mark White

Performance of a Stochastic Learning Microchip Joshua Alspector, Bhusan Gupta, Robert B. Allen

Performance of Synthetic Neural Network Classification of Noisy Radar Signals Stanley C. Ahalt, F. D. Garber, I. Jouny, Ashok K. Krishnamurthy

Programmable Analog Pulse-Firing Neural Networks Alister Hamilton, Alan F. Murray, Lionel Tarassenko

Range Image Restoration Using Mean Field Annealing Griff L. Bilbro, Wesley E. Snyder

Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad, Gerald Tesauro

Self Organizing Neural Networks for the Identification Problem Manoel Fernando Tenorio, Wei-Tsih Lee

Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish Brian Rasnow, Christopher Assad, Mark E. Nelson, James M. Bower

Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment Michael Mozer, Paul Smolensky

Song Learning in Birds M. Konishi

Speech Production Using a Neural Network with a Cooperative Learning Mechanism Mitsuo Komura, Akio Tanaka

Speech Recognition: Statistical and Neural Information Processing Approaches John S. Bridle

Spreading Activation over Distributed Microfeatures James Hendler

Statistical Prediction with Kanerva's Sparse Distributed Memory David Rogers

Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric K. Stanton, Terrence J. Sejnowski

Temporal Representations in a Connectionist Speech System Erich J. Smythe

The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine Eyal Yair, Allen Gersho

Theory of Self-Organization of Cortical Maps Shigeru Tanaka

Training a 3-Node Neural Network Is NP-Complete Avrim Blum, Ronald L. Rivest

Training a Limited-Interconnect, Synthetic Neural IC M. R. Walker, S. Haghighi, A. Afghan, Larry A. Akers

Training Multilayer Perceptrons with the Extended Kalman Algorithm Sharad Singhal, Lance Wu

Use of Multi-Layered Networks for Coding Speech with Phonetic Features Yoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi

Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II Kenneth Y. Goldberg, Barak A. Pearlmutter

What Size Net Gives Valid Generalization? Eric B. Baum, David Haussler

Winner-Take-All Networks of O(N) Complexity J. Lazzaro, S. Ryckebusch, M.A. Mahowald, C. A. Mead