0003	Studies of a Model for the Development and Regeneration of Eye-Brain Maps J.D. Cowan and A.E. Friedman
0011	Development and Spatial Structure of Cortical Feature Maps: A Model Study K. Obermayer, H. Ritter, and K. Schulten
0018	Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways Shigeru Tanaka
0026	Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches J.D. Cowan and A.E. Friedman
0032	A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex Thomas J. Anastasio
0039	Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, and Brenda J. Claiborne

Part II Neuro-Dynamics

0046	Cholinergic Modulation May Enhance Cortical Associative Memory Function Michael E. Hasselmo, Brooke P. Anderson, and James M. Bower
0055	Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons Thomas B. Kepler, L.F. Abbott, and Eve Marder
0062	Stochastic Neurodynamics J.D. Cowan
0070	Dynamics of Learning in Recurrent Feature-Discovery Networks Todd K. Leen
0077	A Lagrangian Approach to Fixed Points Eric Mjolsness and Willard L. Miranker
0084	Associative Memory in a Network of 'Biological' Neurons Wulfram Gerstner
0091	CAM Storage of Analog Patterns and Continuous Sequences with 3N 2 Weight Bill Baird and Frank Eeckman
0098	Connection Topology and Dynamics in Lateral Inhibition Networks C.M. Marcus, F.R. Waugh, and R.M. Westervelt
0105	Shaping the State Space Landscape in Recurrent Networks Patrice Y. Simard, Jean Pierre Raysz, and Bernard Victorri

Part III Oscillations

0113	Adjoint-Functions and Temporal Learning Algorithms in Neural Networks N. Toomarian and J. Barhen
0123	Phase-coupling in Two-Dimensional Networks of Interacting Oscillators Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel Ruderman, and Heinz G. Schuster
0130	Oscillation Onset in Neural Delayed Feedback Andre Longtin

Part IV Temporal Reasoning

0137	Analog Computation at a Critical Point Leonid Kruglyak and William Bialek
0147	Modeling Time Varying Systems Using Hidden Control Neural Architecture Esther Levin
0155	The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning Ulrich Bodenhausen and Alex Waibel
0162	A Theory for Neural Networks with Time Delays Bert de Vries and Jose C. Principe
0169	ART2/BP Architecture for Adaptive Estimation of Dynamic Processes Einar Sorheim
0176	Statistical Mechanics of Temporal Association in Neural Networks Andreas V.M. Herz, Zhaoping Li, and J. Leo van Hemmen
0183	Learning Time-varying Concepts Anthony Kuh, Thomas Petsche, and Ronald L. Rivest

Part V Speech

0190	The Recurrent Cascade-Correlation Architecture Scott E. Fahlman
0199	Continuous Speech Recognition by Linked Predictive Neural Networks Joe Tebelskis, Alex Waibel, Bojan Petek, and Otto Schmidbauer
0206	A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings Robert B. Allen and Candace A. Kamm
0213	Connectionist Approaches to the Use of Markov Models for Speech Recognition Herve Bourlard, Nelson Morgan, and Chuck Wooters
0220	Spoken Letter Recognition Mark Fanty and Ronald Cole
0227	Speech Recognition Using Demi-Syllable Neural Prediction Model Ken-ichi Iso and Takao Watanabe
0234	RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition John S. Bridle and Stephen J. Cox
0241	Exploratory Feature Extraction in Speech Signals Nathan Intrator
0248	Phonetic Classification and Recognition Using the Multi-Layer Perceptron Hong C. Leung, James R. Glass, Michael S. Phillips, and Victor W. Zue
0255	From Speech Recognition to Spoken Language Understanding Victor Zue, James Glass, David Goodine, Lynette Hirschman, Hong Leung, Michael Phillips, Joseph Polifroni, and Stephanie Seneff

Part VI Signal Processing

0262	Speech Recognition using Connectionist Approaches Khalid Choukri
0273	Natural Dolphin Echo Recognition Using an Integrator Gateway Network Herbert L. Roitblat, Patrick W.B. Moore, Paul E. Nachtigall, and Ralph H. Penner
0282	Signal Processing by Multiplexing and Demultiplexing in Neurons David C. Tam

Part VII Visual Processing

0289	Applications of Neural Networks in Video Signal Processing John C. Pearson, Clay D. Spence, and Ronald Sverdlove
0299	Discovering Viewpoint-Invariant Relationships That Characterize Objects Richard S. Zemel and Geoffrey E. Hinton
0306	A Neural Network Approach for Three-Dimensional Object Recognition Volker Tresp
0313	A Second-Order Translation, Rotation and Scale Invariant Neural Network Shelly D.D. Goggin, Kristina M. Johnson, and Karl E. Gustafson
0320	Learning to See Rotation and Dilation with a Hebb Rule Martin I. Sereno and Margaret E. Sereno
0327	Stereopsis by a Neural Network Which Learns the Constraints Alireza Khotanzad and Ying-Wung Lee
0335	Grouping Contours by Iterated Pairing Network Amnon Shashua and Shimon Uliman
0342	Neural Dynamics of Motion Segmentation and Grouping Ennio Mingolla
0349	A Multiscale Adaptive Network Model of Motion Computation in Primates H. Taichi Wang, Bimal Mathur, and Christof Koch
0356	Qualitative Structure From Motion Daphna Weinshall
0363	Optimal Sampling of Natural Images William Bialek, Daniel L. Ruderman, and A. Zee
0370	A VLSI Neural Network for Color Constancy Andrew Moore, John Allman, Geoffrey Fox, and Rodney Goodman
0377	Optimal Filtering in the Salamander Retina Fred Rieke, W. Geoffrey Owen, and William Bialek
0384	A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina Jeffrey L. Teeters, Frank H. Eeckman, and Frank S. Werblin
0391	Feedback Synapse to Cone and Light Adaptation Josef Skrzypek
0399	An Analog VLSI Chip for Finding Edges from Zero-crossings Wyeth Bair and Christof Koch

Part VIII Control and Navigation

0406	A Delay-Line Based Motion Detection Chip Tim Horiuchi, John Lazzaro, Andrew Moore, and Christof Koch
0415	Neural Networks Structured for Control Application to Aircraft Landing Charles Schley, Yves Chauvin, Van Henkle, and Richard Golden
0422	Real-time Autonomous Robot Navigation Using VLSI Neural Networks Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jon Tombs, and Alan Murray
0429	Rapidly Adapting Artificial Neural Networks for Autonomous Navigation Dean A. Pomerleau
0436	Learning Trajectory and Force Control of an Artificial Muscle Arm Masazumi Katayama and Mitsuo Kawato
0443	Proximity Effect Corrections in Electron Beam Lithography Robert C. Frye, Kevin D. Cummings, and Edward A. Reitman
0450	Planning with an Adaptive World Model Sebastian B. Thrun, Knut Moller, and Alexander Linden
0457	A Connectionist Learning Control Architecture for Navigation Jonathan R. Bachrach
0464	Navigating Through Temporal Difference Peter Dayan
0471	Integrated Modeling and Control Based on Reinforcement Learning Richard S. Sutton
0479	A Reinforcement Learning Variant for Control Scheduling Aloke Guha
0486	Adaptive Range Coding Bruce E. Rosen, James M. Goodwin, and Jacques J. Vidal
0493	Neural Network Implementation of Admission Control Rodolfo A. Milito, Isabelle Guyon, and Sara A. Solla
0500	Reinforcement Learning in Markovian and Non-Markovian Environments Jurgen Schmidhuber
0507	A Model of Distributed Sensorimotor Control in The Cockroach Escape Turn R.D. Beer, G.J. Kacmarcik, R.E. Ritzmann, and H.J. Chiel

Part IX Applications

0514	Flight Control in the Dragonfly: A Neurobiological Simulation William E. Falter and Marvin W. Luttges
0523	A Novel Approach to Prediction of the 3-Dimensional Structures Henrik Fredholm, Henrik Bohr, Jakob Bohr, Soren Brunak, Rodney M.J. Cotterill, Benny Lautrup, and Steffen B. Petersen
0530	Training Knowledge-Based Neural Networks to Recognize Genes Michiel O. Noordewier, Geoffrey G. Towell, and Jude W. Shavlik
0537	Neural Network Application to Diagnostics Kenneth A. Marko
0544	Lg Depth Estimation and Ripple Fire Characterization John L. Perry and Douglas R. Baumgardt
0551	A B-P ANN Commodity Trader Joseph E. Collard
0557	Integrated Segmentation and Recognition of Hand-Printed Numerals James D. Keeler, David E. Rumelhart, and Wee-Kheng Leow
0564	EMPATH: Face, Emotion, and Gender Recognition Using Holons Garrison W. Cottrell and Janet Metcalfe
0572	SEXNET: A Neural Network Identifies Sex From Human Faces B.A. Golomb, D.T. Lawrence, and T.J. Sejnowski
0578	A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules Yoichi Hayashi

Part X Language and Cognition

0585	Analog Neural Networks as Decoders Ruth Erlanson and Yaser Abu-Mostafa
0591	Distributed Recursive Structure Processing Geraldine Legendre, Yoshiro Miyata, and Paul Smolensky
0598	Translating Locative Prepositions Paul W. Munro and Mary Tabasko
0605	A Short-Term Memory Architecture for the Learning of Morphophonemic Rules Michael Gasser and Chan-Do Lee
0612	Exploiting Syllable Structure in a Connectionist Phonology Model David S. Touretzky and Deirdre W. Wheeler
0619	Language Induction by Phase Transition in Dynamical Recognizers Jordan B. Pollack
0627	Discovering Discrete Distributed Representations Michael C. Mozer
0635	Direct Memory Access Using Two Cues Janet Wiles, Michael S. Humphreys, John D. Bain, and Simon Dennis
0642	An Attractor Neural Network Model of Recall and Recognition Eytan Ruppin and Yechezkel Yeshurun
0649	ALCOVE: A Connectionist Model of Human Category Learning John K. Kruschke
0656	Spherical Units as Dynamic Consequential Regions Stephen Jose Hanson and Mark A. Gluck

Part XI Local Basis Functions

0665	Connectionist Implementation of a Theory of Generalization Roger N. Shepard and Sheila Kannappan
0675	Adaptive Spline Networks Jerome H. Friedman
0684	Multi-Layer Perceptrons with B-Spline Receptive Field Functions Stephen H. Lane, Marshall G. Flax, David A. Handelman, and Jack J. Gelfand
0693	Bumptrees for Efficient Function, Constraint, and Classification Learning Stephen M. Omohundro
0700	Basis-Function Trees as a Generalization of Local Variable Selection Methods Terence D. Sanger
0707	Generalization Properties of Radial Basis Functions Sherif M. Botros and Christopher G. Atkeson
0714	Learning by Combining Memorization and Gradient Descent John C. Platt
0721	Sequential Adaptation of Radial Basis Function Neural Networks V. Kadirkamanathan, M. Niranjan, and F. Fallside
0728	Oriented Non-Radial Basis Functions for Image Coding and Analysis Avijit Saha, Jim Christian, D.S. Tang, and Chuan-Lin Wu
0735	Computing with Arrays of Bell-Shaped and Sigmoid Functions Pierre Baldi
0743	Discrete Affine Wavelet Transforms Y.C. Pati and P.S. Krishnaprasad
0750	Extensions of a Theory of Networks for Approximation and Learning Federico Girosi, Tomaso Poggio, and Bruno Caprile

Part XII Learning Systems

0757	How Receptive Field Parameters Affect Neural Learning Bartlett W. Mel and Stephen M. Omohundro
0767	A Competitive Modular Connectionist Architecture Robert A. Jacobs and Michael I. Jordan
0774	Evaluation of Adaptive Mixtures of Competing Experts Steven J. Nowlan and Geoffrey E. Hinton
0781	A Framework for the Cooperation of Learning Algorithms Leon Bottou and Patrick Gallinari
0789	Connectionist Music Composition Based on Melodic and Stylistic Constraints Michael C. Mozer and Todd Soukup
0797	Using Genetic Algorithms to Improve Pattern Classification Performance Eric I. Chang and Richard P. Lippmann
0804	Evolution and Learning in Neural Networks Ron Keesing and David G. Stork
0811	Designing Linear Threshold Based Neural Network Pattern Classifiers Terrence L. Fine
0818	On Stochastic Complexity and Admissible Models for Neural Network Classifiers Padhraic Smyth
0825	Efficient Design of Boltzmann Machines Ajay Gupta and Wolfgang Maass
0832	Note on Learning Rate Schedules for Stochastic Optimization Christian Darken and John Moody
0839	Convergence of a Neural Network Classifier John S. Baras and Anthony LaVigna
0846	Learning Theory and Experiments with Competitive Networks Griff L. Bilbro and David E. Van den Bout
0853	Transforming Neural-Net Output Levels to Probability Distributions John S. Denker and Yann leCun
0860	Back Propagation is Sensitive to Initial Conditions John F. Kolen and Jordan B. Pollack

Part XIII Learning and Generalization

0868	Closed-Form Inversion of Backpropagation Networks Michael L. Rossen
0875	Generalization by Weight-Elimination with Application to Forecasting Andreas S. Weigend, David E. Rumelhart, and Bernardo A. Huberman
0883	The Devil and the Network Sanjay Biswas and Santosh S. Venkatesh
0890	Generalization Dynamics in LMS Trained Linear Networks Yves Chauvin
0897	Dynamics of Generalization in Linear Perceptrons Anders Krogh and John A. Hertz
0904	Constructing Hidden Units Using Examples and Queries Eric B. Baum and Kevin J. Lang
0911	Can Neural Networks do Better Than the Vapnik-Chervonenkis Bounds? David Cohn and Gerald Tesauro
0918	Second Order Properties of Error Surfaces Yann Le Cun, Ido Kanter, and Sara A. Solla
0925	Chaitin-Kolmogorov Complexity and Generalization in Neural Networks Barak A. Pearlmutter and Ronald Rosenfeld
0932	Asymptotic Slowing Down of the Nearest-Neighbor Classifier Robert R. Snapp, Demetri Psaltis, and Santosh S. Venkatesh
0939	Remarks on Interpolation and Recognition Using Neural Nets Eduardo D. Sontag
0946	E-Entropy and the Complexity of Feedforward Neural Networks Robert C. Williamson

Part XIV Performance Comparisons

0953	On The Circuit Complexity of Neural Networks V.P. Roychowdhury, A. Orlitsky, K.Y. Siu, and T. Kailath
0963	Comparison of Three Classification Techniques, CART, C4.5 and Multi-Layer Perceptrons A.C. Tsoi and R.A. Pearson
0970	Practical Characteristics of Neural Network and Conventional Pattern Classifiers Kenney Ng and Richard P. Lippmann
0977	Time Trials on Second-Order and Variable-Learning-Rate Algorithms Richard Rohwer

Part XV VLSI

0984	Kohonen Networks and Clustering Wesley Snyder, Daniel Nissman, David Van den Bout, and Griff Bilbro
0993	VLSI Implementations of Learning and Memory Systems Mark A. Holler
1001	Compact EEPROM-based Weight Functions A. Kramer, C.K. Sin, R. Chu, and P.K. Ko
1008	An Analog VLSI Splining Network Daniel B. Schwartz and Vijay K. Samalam
1015	Relaxation Networks for Large Supervised Learning Problems Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, and Ronny Meir
1022	Design and Implementation of a High Speed CMAC Neural Network W. Thomas Miller, III, Brian A. Box, Erich C. Whitney, and James M. Glynn
1028	Back Propagation Implementation Hal McCartor
1032	Reconfigurable Neural Net Chip with 32K Connections H.P. Graf, R. Janow, D. Henderson, and R. Lee
1039	Simulation of the Neocognitron on a CCD Parallel Processing Architecture Michael L. Chuang and Alice M. Chiang
1046	VLSI Implementation of TInMANN Matt Melton, Tan Phan, Doug Reeves, and Dave Van den Bout
1053	Index
1061	Author Index