0002	Acoustic-Imaging Computations by Echolocating Bats: Unification of Diversely-Represented Stimulus Features into Whole Images James A. Simmons (Invited Talk)
0010	The Computation of Sound Source Elevation in the Barn Owl Clay D. Spence and John C. Pearson
0018	Mechanisms for Neuromodulation of Biological Neural Networks Ronald M. Harris-Warrick
0028	Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech Shawn R. Lockery, Yan Fang and Terrence J. Sejnowski
0036	Reading a Neural Code William Bialek, Fred Rieke, R. R. de Ruyter van Steveninck and David Warland
0044	Neural Implementation of Motivated Behavior: Feeding in an Artificial Insect Randall D. Beer and Hillel J. Chiel
0052	Neural Network Simulation of Somatosensory Representational Plasticity Kamil A. Grajski and Michael M. Merzenich
0060	Computational Efficiency: A Common Organizing Principle for Parallel Computer Maps and Brain Maps? Mark E. Nelson and James M. Bower
0068	Associative Memory in a Simple Model of Oscillating Cortex Bill Baird
0076	Collective Oscillations in the Visual Cortex Daniel Kammen, Christof Koch and Philip J. Holmes
0084	Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks Matthew A. Wilson and James M. Bower
0092	Development and Regeneration of Eye-Brain Maps: A Computational Model J.D. Cowan and A.E. Friedman
0100	The Effect of Catecholamines on Performance: From Unit to System Behavior David Servan-Schreiber, Harry Printz and Jonathan D. Cohen
0109	Non-Boltzmann Dynamics in Networks of Spiking Neurons Michael C. Crair and William Bialek
0117	A Computer Modeling Approach to Understanding the Inferior Olive and Its Relationships to the Cerebellar Cortex in Rats Maurice Lee and James M. Bower
0125	Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment William R. Softky and Daniel M. Kammen
0133	Note on Development of Modularity in Simple Cortical Models Alex Chernjavsky and John Moody
0141	Effects of Firing Synchrony on Signal Propagation in Layered Networks G.T. Kenyon, E.E. Fetz and R.D. Puff
0149	A Systematic Study of the Input/Output Properties of a 2 Compartment Model Neuron With Active Membranes Paul Rhodes

PART II: SPEECH AND SIGNAL PROCESSING

0160	Analytic Solutions to the Formation of Feature-Analysing Cells of a Three-Layer Feedforward Visual Information Processing Neural Net D.S. Tang
0168	Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems Yuchun Lee and Richard P. Lippmann
0178	Dimensionality Reduction and Prior Knowledge in E-Set Recognition Kevin J. Lang and Geoffrey E. Hinton
0186	A Continuous Speech Recognition System Embedding MLP into HMM Herve Bourlard and Nelson Morgan
0194	HMM Speech Recognition with Neural Net Discrimination William Y. Huang and Richard P. Lippmann
0203	Connectionist Architectures for Multi-Speaker Phoneme Recognition John B. Hampshire II and Alex Waibel
0211	Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters John S. Bridle
0218	Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge Yoshua Bengio, Renato De Mori and Regis Cardin
0226	The Effects of Circuit Integration on a Feature Map Vector Quantizer Jim Mann
0232	Combining Visual and Acoustic Speech Signals with a Neural Network Improves Intelligibility T.J. Sejnowski, B.P. Yuhas, M.H. Goldstein, Jr. and R.E. Jenkins
0240	Using A Translation-Invariant Neural Network to Diagnose Heart Arrhythmia Susan Ciarrocca Lee

PART III: VISION

0248	A Neural Network for Real-Time Signal Processing Donald B. Malkoff
0258	Learning Aspect Graph Representations from View Sequences Michael Seibert and Allen M. Waxman
0266	TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations Richard S. Zemel, Michael C. Mozer and Geoffrey E. Hinton
0274	A Self-Organizing Multiple-View Representation of 3D Objects Daphna Weinshall, Shimon Edelman and Heinrich H. Bulthoff
0282	Contour-Map Encoding of Shape for Early Vision Pentri Kanerva
0290	Neurally Inspired Plasticity in Oculomotor Processes PaulA. Viola

PART IV: OPTIMIZATION AND CONTROL

0298	Model Based Image Compression and Adaptive Data Representation by Interacting Filter Banks Toshiaki Okamoto, Mitsuo Kawato, Toshio Inui and Sei Miyake
0308	Neuronal Group Selection Theory: A Grounding in Robotics Jim Donnett and Tim Smithers
0316	Using Local Models to Control Movement Christopher G. Atkeson
0324	Learning to Control an Unstable System with Forward Modeling Michael I. Jordan and Robert A. Jacobs
0332	A Self-organizing Associative Memory System for Control Applications Michael Hormel
0340	Operational Fault Tolerance of CMAC Networks Michael J. Carter, Franklin J. Rudolph and Adam J. Nucci
0348	Neural Network Weight Matrix Synthesis Using Optimal Control Techniques O. Farotimi, A. Dembo and T. Kailath

PART V: OTHER APPLICATIONS

0355	Generalized Hopfield Networks and Nonlinear Optimization Gintaras V. Reklaitis, Athanasios G. Tsirukis and Manoel F. Tenorio
0364	Incremental Parsing by Modular Recurrent Connectionist Networks Ajay N. Jain and Alex H. Waibel
0372	A Computational Basis for Phonology David S. Touretzky and Deirdre W. Wheeler
0380	Higher Order Recurrent Networks and Grammatical Inference C.L. Giles, G.Z. Sun, H.H. Chen, Y.C. Lee and D. Chen
0388	Bayesian Inference of Regular Grammar and Markov Source Models Kurt R. Smith and Michael I. Miller
0396	Handwritten Digit Recognition with a Back-Propagation Network Y. Le Cun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard and L.D. Jackel
0405	Recognizing Hand-Printed Letters and Digits Gale L. Martin and James A. Pittman
0415	A Large-Scale Neural Network Which Recognizes Handwritten Kanji Characters Yoshihiro Mori and Kazuki Joe
0423	A Neural Network to Detect Homologies in Proteins Yoshua Bengio, Samy Bengio, Yannick Pouliot and Patrick Agin
0431	Rule Representations in a Connectionist Chunker David S. Touretzky and Gillette Elvgren III
0439	Discovering the Structure of a Reactive Environment by Exploration Michael C. Mozer and Jonathan Bachrach
0447	Designing Application-Specific Neural Networks Using the Genetic Algorithm Steven A. Harp, Tang Samad and Aloke Guha
0455	Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms David Rogers

PART VI: NEW LEARNING ALGORITHMS

0465	Neural Network Visualization Jakub Wejchert and Gerald Tesauro
0474	Sigma-Pi Learning: On Radial Basis Functions and Cortical Associative Learning Bartlett W. Mel and Christof Koch
0482	Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks Avijit Saha and James D. Keeler
0490	Learning in Higher-Order 'Artificial Dendritic Trees' Tony Bell
0498	Adjoint Operator Algorithms for Faster Learning in Dynamical Neural Networks Jacob Barhen, Nikzad Toomarian and Sandeep Gulati
0509	Discovering High Order Features with Mean Field Modules Conrad C. Galland and Geoffrey E. Hinton
0516	The CHIR Algorithm for Feed Forward Networks with Binary Weights Tal Grossman
0524	The Cascade-Correlation Learning Architecture Scott E. Fahlman and Christian Lebiere
0533	Meiosis Networks Stephen Jose Hanson
0542	The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN John Kassebaum, Manoel Fernando Tenorio and Christoph Schaefers
0550	Generalization and Scaling in Reinforcement Learning David H. Ackley and Michael L. Littman
0558	The 'Moving Targets' Training Algorithm Richard Rohwer
0566	Training Connectionist Networks with Queries and Selective Sampling Les Atlas, David Cohn and Richard Ladner
0574	Maximum Likelihood Competitive Learning Steven J. Nowlan
0583	Unsupervised Learning in Neurodynamics Using the Phase Velocity Field Approach Michail Zak and Nikzad Toomarian

PART VII: EMPIRICAL ANALYSES

0590	A Method for the Associative Storage of Analog Vectors Amir Atiya and Yaser Abu-Mostafa
0598	Optimal Brain Damage Yann Le Cun, John S. Denker and Sara A. Solla
0606	Asymptotic Convergence of Backpropagation: Numerical Experiments Subutai Ahmad, Gerald Tesauro and Yu He
0614	Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem Sheri L. Gish and W.E. Blanz
0622	Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications Les Atlas, Ronald Cole, Jerome Connor, Mohamed El-Sharkawi, Robert J. Marks II, Yeshwant Muthusamy and Etienne Barnard
0630	Generalization and Parameter Estimation in Feedforward Nets: Some Experiments N. Morgan and H. Bourlard
0638	Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent Networks David Zipser
0642	Dynamic Behavior of Constrained Back-Propagation Networks Yves Chauvin

PART VIII: THEORETICAL ANALYSES

0650	Synergy of Clustering Multiple Back Propagation Networks William P. Lincoln and Josef Skrzypek
0660	Coupled Markov Random Fields and Mean Field Theory Davi Geiger and Federico Girosi
0668	Complexity of Finite Precision Neural Network Classifier Amir Dembo, Kai-Yeung Siu and Thomas Kailath
0676	The Perceptron Algorithm Is Fast for Non-Malicious Distributions Eric B. Baum
0686	Sequential Decision Problems and Neural Networks A.G. Barto, R.S. Sutton and C.J.C.H. Watkins
0694	Analysis of Linsker's Simulations of Hebbian Rules David J.C. MacKay and Kenneth D. Miller
0702	Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions Zoran Obradovic and Ian Parberry
0710	Time Dependent Adaptive Neural Networks Fernando J. Pineda
0719	A Neural Network for Feature Extraction Nathan Intrator
0727	On the Distribution of the Number of Local Minima of a Random Function on a Graph Pierre Baldi, Yosef Rinott and Charles Stein

PART IX: HARDWARE IMPLEMENTATION

0733	A Cost Function for Internal Representations Anders Krogh, C.J. Thorbergsson and John A. Hertz
0742	An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex Stephen P. DeWeerth and Carver A. Mead
0750	Real-Time Computer Vision and Robotics Using Analog VLSI Circuits Christof Koch, Wyeth Bair, John G. Harris, Timothy Horiuchi, Andrew Hsu and Jin Luo
0758	A Reconfigurable Analog VLSI Neural Network Chip Srinagesh Satyanarayana, Yannis Tsividis and Hans Peter Graf
0769	Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks A. Moopenn, T. Duong and A.P. Thakoor
0777	Analog Circuits for Constrained Optimization John C. Platt
0785	Pulse-Firing Neural Chips for Hundreds of Neurons Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han and H. Martin Reekie
0793	VLSI Implementation of a High-Capacity Neural Network Associative Memory Tzi-Dar Chiueh and Rodney M. Goodman
0801	An Efficient Implementation of the Back-propagation Algorithm on the Connection Machine CM-2 Xiru Zhang, Michael Mckenna, Jill P. Mesirov and David L. Waltz
0810	Performance of Connectionist Learning Algorithms on 2-D SIMD Processor Arrays Fernando J. Nunez and Jose A.B. Fortes

PART X: HISTORY OF NEURAL NETWORKS

0818	Dataflow Architectures: Flexible Platforms for Neural Network Simulation Ira G. Smotroff
0828	Neural Networks: The Early Days J.D. Cowan
0843	Subject Index
0851	Index