0002	Constraints on Adaptive Networks for Modeling Human Generalization Mark A. Gluck, M. Pavel and Van Henkle
0011	An Optimality Principle for Unsupervised Learning Terence D. Sanger
0020	Associative Learning via Inhibitory Search David H. Ackley
0029	Fast Learning in Multi-Resolution Hierarchies John Moody
0040	Efficient Parallel Learning Algorithms for Neural Networks Alan H. Kramer and A. Sangiovanni-Vincentelli
0049	Mapping Classifier Systems Into Neural Networks Lawrence Davis
0057	Self Organizing Neural Networks for the Identification Problem Manoel Fernando Tenorio and Wei-Tsih Lee
0065	Linear Learning: Landscapes and Algorithms Pierre Baldi
0073	Learning by Choice of Internal Representations Tal Grossman, Ronny Meir and Eytan Domany
0081	What Size Net Gives Valid Generalization? Eric B. Baum and David Haussler
0091	Optimization by Mean Field Annealing GriffBilbro, Reinhold Mann, Thomas K Miller, Wesley E. Snyder, David E. Van den Bout and Mark Whita
0099	Connectionist Learning of Expert Preferences by Comparison Training Gerald Tesauro
0107	Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment Michael C. Mozer and Paul Smolensky
0116	The Boltzmann Perceptron Network: A Multi-Layered Feed-Forward Network Equivalent to the Boltzmann Machine Eyal Yair and Allen Gersho
0124	Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise Richard P. Lippmann and Paul Beckman
0133	Training Multilayer Perceptrons with the Extended Kalman Algorithm Sizarad Singhal and Lance Wu
0141	GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection Yann Le Cun, Conrad C. Galland and Geoffrey E. Hinton
0149	Fixed Point Analysis for Recurrent Networks Patrice Y. Simard, Mary B. Ottaway and Dana H. Ballard
0160	Scaling and Generalization in Neural Networks: A Case Study Subutai Ahmad and Gerald Tesauro
0169	Does the Neuron "Learn" Like the Synapse? Raoul Tawel
0177	Comparing Biases for Minimal Network Construction with Back-Propagation Stephen Jose Hanson and Lorien Y. Pratt
0186	An Application of the Principle of Maximum Information Preservation to Linear Systems Ralph Linsker

PART II: APPLICATION

0195	Learning with Temporal Derivatives in Pulse-Coded Neuronal Systems David B. Parker, Mark Gluck and Eric S. Reifsnider
0206	Applications of Error Back-Propagation to Phonetic Classification Hong C. Leung and Victor W. Zue
0215	Consonant Recognition by Modular Construction of Large Phonemic Time-Delay Neural Networks Alex Waibel
0224	Use of Multi-Layered Networks for Coding Speech with Phonetic Features Yoshua Bengio, Regis Cardin, Renato De Mori and Piero Cosi
0232	Speech Production Using A Neural Network with a Cooperative Learning Mechanism Mitsuo Komura and Akio Tanaka
0240	Temporal Representations in a Connectionist Speech System Erich J. Smythe
0248	A Connectionist Expert System that Actually Works Richard Fozzard, Gary Bradshaw and Louis Ceci
0256	An Information Theoretic Approach to Rule-Based Connectionist Expert Systems Rodney M. Goodman, John W. Miller and Padhraic Smyth
0264	Neural Approach for TV Image Compression Using a Hopfleld Type Network Martine Naillon and Jean-Bernard Theeten
0272	Neural Net Receivers in Multiple-Access Communications Bernd-Peter Paris, Geoffrey Orsak, Mahesh Varanasi and Behnaam Aazhang
0281	Performance of Synthetic Neural Network Classification of Noisy Radar Signals S. C. Ahalt, F. D. Garber, I. Jouny and A. K. Krishnamurthy
0289	Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision Allen M. Waxman, Michael Seibert, Robert Cunningham and Jian Wu
0297	A Network for Image Segmentation Using Color Anya Hurlbert and Tomaso Poggio
0305	ALVINN: An Autonomous Land Vehicle in a Neural Network Dean A. Pomerleau
0314	Neural Network Star Pattern Recognition for Spacecraft Attitude Determination and Control Phillip Alvelda, A. Miguel San Martin
0323	Neural Network Recognizer for Hand-Written Zip Code Digits J. S. Denker, W. R. Gardner, H. P. Graf, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, H. S. Baird and I. Guyon
0332	Neural Networks that Learn to Discriminate Similar Kanji Characters Yoshihiro Mori and Kazuhiko Yokosawa
0340	Backpropagation and Its Application to Handwritten Signature Verification Timothy S. Wilkinson, Dorothy A. Mighell and Joseph W. Goodman
0348	Further Explorations in Visually-Guided Reaching: Making MURPHY Smarter Bartlett W. Mel

PART III: NEUROBIOLOGY

0356	Using Backpropagation with Temporal Windows to Learn the Dynamics of the CMU Direct-Drive Arm II K. Y. Goldberg and B. A. Pearlmutter
0366	Neuronal Maps for Sensory-Motor Control in the Barn Owl C. D. Spence, J. C. Pearson, J. J. Gelfand, R. M. Peterson and W. E. Sullivan
0375	Models of Ocular Dominance Column Formation: Analytical and Computational Results Kenneth D. Miller, Joseph B. Keller and Michael P. Stryker
0384	Modeling Small Oscillating Biological Networks in Analog VLSI Sylvie Ryckebusch, James M. Bower, and Carver Mead
0394	Storing Covariance by the Associative Long-Term Potentiation and Depression of Synaptic Strengths in the Hippocampus Patric K Stanton and Terrence J. Sejnowski
0402	Modeling the Olfactory Bulb-Coupled Nonlinear Oscillators Zhaoping Li and J. J. Hopfield
0410	Neural Control of Sensory Acquisition: The Vestibulo-Ocular Reflex Michael G. Paulin, Mark E. Nelson and James M. Bower
0419	Computer Modeling of Associative Learning Daniel L. Alkon, Francis Quek and Thomas P. Vogl
0436	Simulation and Measurement of the Electric Fields Generated by Weakly Electric Fish Brian Rasnow, Christopher Assad, Mark E. Nelson and James M. Bower
0444	A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation Jun Zhang and John P. Miller
0451	Theory of Self-Organization of Cortical Maps Shigeru Tanaka
0459	A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex Bill Baird
0468	Learning the Solution to the Aperture Problem for Pattern Motion with a Hebb Rule Martin L Sereno
0477	A Computationally Robust Anatomical Model for Retinal Directional Selectivity Norberto M. Grzywacz and Franklin R. Amthor

PART IV: STRUCTURED NETWORKS

0485	GENESIS: A System for Simulating Neural Networks Matthew A Wilson, Upinder S. Bhalla, John D. Uhley and James M. Bower
0494	Training a 3-Node Neural Network is NP-Complete Avrim Blum and Ronald L. Rivest
0502	Links Between Markov Models and Multilayer Perceptrons H. Bourlard and C. J. Wellekens
0511	Convergence and Pattern-Stabilization in the Boltzmann Machine Moshe Kam and Roger Cheng
0519	A Back-Propagation Algorithm with Optimal Use of Hidden Units Yves Chauvin
0527	Implications of Recursive Distributed Representations Jordan B. Pollack
0537	A Massively Parallel Self-Tuning Context-Free Parser Eugene Santos Jr
0545	Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding Trent E. Lange and Michael G. Dyer
0553	Spreading Activation over Distributed Microfeatures James Hendler
0560	A Model of Neural Oscillator for a Unified Submodule A. B. Kirillov, G. N. Borisyuk, R. M. Borisyuk, Ye. I. Kovalenko, V. I. Makarenko, V. A. Chulaevsky and V. I. Kryukov
0568	Dynamics of Analog Neural Networks with Time Delay C. M. Marcus and R. M. Westervelt
0577	Heterogeneous Neural Networks for Adaptive Behavior in Dynamic Environments Randall D. Beer, Hillel J. Chiel and Leon S. Sterling
0586	Statistical Prediction with Kanerva's Sparse Distributed Memory David Rogers
0594	Range Image Restoration Using Mean Field Annealing Gniff L. Bilbro and Wesley E. Snyder
0602	Automatic Local Annealing Jared Leinbach
0610	"Neurolocator", A Model of Attention V. I. Kryukov
0618	Neural Networks for Model Matching and Perceptual Organization Eric Mjolsness, Gene Gindi and P. Anandan
0626	Analyzing the Energy Landscapes of Distributed Winner-Take-All Networks David S. Touretzky
0634	On the K-Winners-Take-All Network E. Majani, R. Erlanson and Y. Abu-Mostafa
0643	Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans and James L. McClelland

PART V: IMPLEMENTATION

0653	An Adaptive Network That Learns Sequences of Transitions C. L. Winter
0662	A Passive Shared Element Analog Electrical Cochlea David Feld, Joe Eisenberg and Edwin Lewis
0671	Programmable Analog Pulse-Firing Neural Networks Alister Hamilton, Alan F. Murray and Lionel Tarassenko
0678	A Low-Power CMOS Circuit Which Emulates Temporal Electrical Properties of Neurons Jack L. Meador and Clint S. Cole
0687	An Analog VLSI Chip for Thin-Plate Surface Interpolation John G. Harris
0695	Analog Implementation of Shunting Neural Networks Bahram Nabet, Robert B. Darling and Robert B. Pinter
0703	Winner-Take-All Networks of O(N) Complexity J. Lazzaro, S. Ryckebusch, M. A Mahowald and C. A. Mead
0712	A Programmable Analog Neural Computer and Simulator Paul Mueller, Jan Van den Spiegel, David Blackman, Timothy Chiu, Thomas Clare, Joseph Dao, Christopher Donham, Tzu-pu Hsieh and Marc Loinaz
0720	An Electronic Photoreceptor Sensitive to Small Changes in Intensity T. Delbruck and C. A. Mead
0728	Digital Realisation of Self-Organising Maps Martin J. Johnson, Nigel M. Allinson and Kevin J. Moon
0739	An Analog Self-Organizing Neural Network Chip James R. Mann and Sheldon Gilbert
0748	Performance of a Stochastic Learning Microchip Joshua Alspector, Bhusan Gupta and Robert B. Allen
0761	Adaptive Neural Networks Using MOS Charge Storage D. B. Schwartz, R. E. Howard and W. E. Hubbard
0769	A Self-Learning Neural Network A Hartstein and R. H. Koch
0777	Training a Limited-Interconnect, Synthetic Neural IC M. R. Walker, S. Haghighi, A Afghan and L. A Akers

APPENDIX: SUMMARIES OF INVITED TALKS

0785	Electronic Receptors for Tactile/Haptic Sensing Andreas G. Andreou
0794	Neural Architecture Valentino Braitenbeng
0795	Song Learning in Birds M. Konishi
0796	Speech Recognition: Statistical and Neural Information Processing Approaches John S. Bridle
0802	Cricket Wind Detection John P. Miller
0809	Author Index
0813	Subject Index