Studies of a Model for the Development and Regeneration of Eye-Brain Maps
J.D. Cowan and A.E. Friedman 
3 

Development and Spatial Structure of Cortical Feature Maps: A Model Study
K. Obermayer, H. Ritter, and K. Schulten 
11 

Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways
Shigeru Tanaka 
18 

Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches
J.D. Cowan and A.E. Friedman 
26 

A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex
Thomas J. Anastasio 
32 

Self-organization of Hebbian Synapses in Hippocampal Neurons . 
Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, and Brenda J. Claiborne 
39 

Cholinergic Modulation May Enhance Cortical Associative Memory Function . . 
Michael E. Hasselmo, Brooke P. Anderson, and James M. Bower 
46 

Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons .
Thomas B. Kepler, L.F. Abbott, and Eve Marder 
55 

Stochastic Neurodynamics . 
J.D. Cowan 
62 

Dynamics of Learning in Recurrent Feature-Discovery Networks . 
Todd K. Leen 
70 

A Lagrangian Approach to Fixed Points . 
Eric Mjolsness and Willard L. Miranker 
77 

Associative Memory in a Network of 'Biological' Neurons . 
Wulfram Gerstner 
84 

CAM Storage of Analog Patterns and Continuous Sequences with 3N 2 Weights . 
Bill Baird and Frank Eeckman 
91 

Connection Topology and Dynamics in Lateral Inhibition Networks 
CdVI. Marcus, F.R. Waugh, and R.M. Westervelt 
98 

Shaping the State Space Landscape in Recurrent Networks . 
Patrice Y. Simard, Jean Pierre Raysz, and Bernard Victorri 
105 

Adjoint-Functions and Temporal Learning Algorithms in Neural Networks 
N. Toomarian and ]. Barhen 
113 

Phase-coupling in Two-Dimensional Networks of Interacting Oscillators . . . 
Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel Ruderman, and Heinz G. Schuster 
123 

Oscillation Onset in Neural Delayed Feedback . 
Andre Longtin 
130 

Analog Computation at a Critical Point . 
Leonid Kruglyak and William Bialek 
137 

Modeling Time Varying Systems Using Hidden Control Neural Architecture 
Esther Levin 
147 

The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning . 
Ulrich Bodenhausen and Alex Waibel 
155 

A Theory for Neural Networks with Time Delays 
Bert de Vries and Jose C. Principe 
162 

ART2/BP Architecture for Adaptive Estimation of Dynamic Processes 
Einar Sorheim 
169 

Statistical Mechanics of Temporal Association in Neural Networks 
Andreas V.M. Herz, Zhaoping Li, and ]. Leo van Hemmen 
176 

Learning Time-varying Concepts . 
Anthony Kuh, Thomas Petsche, and Ronald L. Rivest 
183 

The Recurrent Cascade-Correlation Architecture . 
Scott E. Fahlman 
190 

Continuous Speech Recognition by Linked Predictive Neural Networks . 
Joe Tebelskis, Alex Waibel, Bojan Petek, and Otto Schmidbauer 
199 

A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings . 
Robert B. Allen and Candace A. Kamm
206

Connectionist Approaches to the Use of Markov Models for Speech Recognition . 
Herve Bourlard, Nelson Morgan, and Chuck Woofers 
213 

Spoken Letter Recognition . 
Mark Fant and Ronald Cole 
220 

Speech Recognition Using Demi-Syllable Neural Prediction Model . 
Ken-ichi Iso and Takao Watanabe 
227 

RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition . 
John S. Bridle and Stephen J. Cox 
234 

Exploratory Feature Extraction in Speech Signals . 
Nathan Intrator 
241 

Phonetic Classification and Recognition Using the Multi-Layer Perceptton . 
Hong C. Leung, James R. Glass, Michael S. Phillips, and Victor W. Zue 
248 

From Speech Recognition to Spoken Language Understanding . 
Victor Zue, James Glass, David Goodine, Lynette Hirschman, Hong Leung, Michael Phillips, Joseph Polifroni, and Stephanie Seneft 
255 

Speech Recognition using Connectionist Approaches . 
Khalid Choukri 
262 

Natural Dolphin Echo Recognition Using an Integrator Gateway Network. 
Herbert L. Roitblat, Patrick W.B. Moore, Paul E. Nachtigall, and Ralph H. Penner 
273 

Signal Processing by Multiplexing and Demultiplexing in Neurons . 
David C. Tam 
282 

Applications of Neural Networks in Video Signal Processing 
John C. Pearson, Clay D. Spence, and Ronald Sverdlove 
289 

Discovering Viewpoint-Invariant Relationships That Characterize Objects 
Richard S. Zemel and Geoffrey E. Hinton 
299 

A Neural Network Approach for Three-Dimensional Object Recognition 
Volker Tresp 
306 

A Second-Order Translation, Rotation and Scale Invariant Neural Network 
Shelly D.D. Goggin, Kristina M. Johnson, and Karl E. Gustafson 
313 

Learning to See Rotation and Dilation with a Hebb Rule . 
Martin I. Sereno and Margaret E. Sereno 
320 

Stereopsis by a Neural Network Which Learns the Constraints . 
Alireza Khotanzad and Ying-Wung Lee 
327 

Grouping Contours by Iterated Pairing Network . 
Amnon Shashua and Shimon Ullman 
335 

Neural Dynamics of Motion Segmentation and Grouping . 
Ennio Mingolla 
342 

A Multiscale Adaptive Network Model of Motion Computation in Primates . . . 
H. Taichi Wang, Bimal Matbur, and Christof Koch 
349 

Qualitative Structure From Motion . 
Daphna Weinshall 
356 

Optimal Sampling of Natural Images . 
William Bialek, Daniel L. Ruderman, and A. Zee 
363 

A VLSI Neural Network for Color Constancy . 
Andrew Moore, John Allman, Geoffrey Fox, and Rodney Goodman 
370 

Optimal Filtering in the Salamander Retina . 
Fred Rieke, W. Geoffrey Owen, and William Bialek 
377 

A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina . 
Jeffrey L. Teeters, Frank H. Eeckman, and Frank S. Werblin 
384 

Feedback Synapse to Cone and Light Adaptation . 
Josef Skrzypek 
391 

An Analog VLSI Chip for Finding Edges from Zero-crossings . 
Wyeth Bair and Christof Koch 
399 

A Delay-Line Based Motion Detection Chip . 
Tim Horiuchi, John Lazzaro, Andrew Moore, and Christof Koch 
406 

Neural Networks Structured for Control Application to Aircraft Landing . 
Charles Schley, Yves Chauvin, Van Henkle, and Richard Golden 
415 

Real-time Autonomous Robot Navigation Using VLSI Neural Networks . 
Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jon Tombs, and Alan Murray 
422 

Rapidly Adapting Artificial Neural Networks for Autonomous Navigation .
Dean A. Pomerleau 
429 

Learning Trajectory and Force Control of an Artifidal Muscle Arm .
Masazumi Katayama and Mitsuo Kawato 
436 

Proximity Effect Corrections in Electron Beam Lithography . 
Robert C. Frye, Kevin D. Cummings, and Edward A. Reitman 
443 

Planning with an Adaptive World Model . 
Sebastian B. Thrun, Knut Mi)'ller, and Alexander Linden 
450 

A Connectionist Learning Control Architecture for Navigation . 
Jonathan R. Bachrach 
457 

Navigating Through Temporal Difference . 
Peter Dayan 
464 

Integrated Modeling and Control Based on Reinforcement Learning . 
Richard S. Sutton 
471 

A Reinforcement Learning Variant for Control Scheduling .. 
Aloke Guha 
479 

Adaptive Range Coding . 
Bruce E. Rosen, James M. Goodwin, and Jacques J. Vidal 
486 

Neural Network Implementation of Admission Control .. 
Rodolfo A. Milito, Isabelle Guyon, and Sara A. Solla 
493 

Reinforcement Learning in Markovian and Non-Markovian Environments . . . 
fiirgen Schmidhuber 
500 

A Model of Distributed Sensorimotor Control in The Cockroach Escape Turn . . 
R.D. Beer, G.J. Kacmarcik, R.E. Ritzmann, and H.J. Chiel 
507 

Flight Control in the Dragonfly: A Neurobiological Simulation . 
William E. Faller and Marvin W. Luttges 
514 

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 
523 

Training Knowledge-Based Neural Networks to Recognize Genes .. 
Michiel O. Noordewier, Geoffrey G. TowelL and Jude W. Shavlik 
530 

Neural Network Application to Diagnostics .. 
Kenneth A. Marko 
537 

Lg Depth Estimation and Ripple Fire Characterization .. 
John L. Perry and Douglas R. Baumgardt 
544 

A B-P ANN Commodity Trader .. 
Joseph E. Collard 
551 

Integrated Segmentation and Recognition of Hand-Printed Numerals . 
James D. Keeler, David E. Rumelhart, and Wee-Kheng Leow 
557 

EMPATH: Face, Emotion, and Gender Recognition Using Holons .. 
Garrison W. Cottrell and Janet Metcalfe 
564 

SEXNET: A Neural Network Identifies Sex From Human Faces . 
B.A. Golomb, D.T. Lawrence, and T.J. Sejnowski 
572 

A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules . . . 
Yoichi Hayashi 
578 

Analog Neural Networks as Decoders . 
Ruth Erlanson and Yaser Abu-Mostafa 
585 

Distributed Recursive Structure Processing .. 
Geraldine Legendre, Yoshiro Miyata, and Paul Smolensky 
591 

Translating Locative Prepositions . 
Paul W. Munro and Mary Tabasko 
598 

A Short-Term Memory Architecture for the Learning of Morphophonemic Rules . 
Michael Gasser and Chan-Do Lee 
605 

Exploiting Syllable Structure in a Connectionist Phonology Model .. 
David S. Touretzky and Deirdre W. Wheeler 
612 

Language Induction by Phase Transition in Dynamical Recognizers .. 
Jordan B. Pollack 
619 

Discovering Discrete Distributed Representations . 
Michael C. Mozer 
627 

Direct Memory Access Using Two Cues . 
Janet Wiles, Michael S. Humphreys, John D. Bain, and Simon Dennis 
635 

An Attractor Neural Network Model of Recall and Recognition . 
Eytan Ruppin and Yechezkel Yeshurun 
642 

ALCOVE: A Connectionist Model of Human Category Learning . 
John K. Kruschke 
649 

Spherical Units as Dynamic Consequential Regions . 
Stephen Jose Hanson and Mark A. Gluck 
656 

Connectionist Implementation of a Theory of Generalization 
Roger N. Shepard and Sheila Kannappan 
665 

Adaptive Spline Networks . 
Jerome H. Friedman 
675 

Multi-Layer Perceptrons with B-Spline Receptive Field Functions . 
Stephen H. Lane, Marshall G. Flax, David A. Handelman, and Jack J. Gelfand 
684 

Bumptrees for Efficient Function, Constraint, and Classification Learning . 
Stephen M. Omohundro 
693 

Basis-Function Trees as a Generalization of Local Variable Selection Methods . . 
Terence D. Sanger 
700 

Generalization Properties of Radial Basis Functions . 
Sherif M. Botros and Christopher G. Atkeson 
707 

Learning by Combining Memorization and Gradient Descent . 
John C. Platt 
714 

Sequential Adaptation of Radial Basis Function Neural Networks .. 
V. Kadirkamanathan, M. Niranjan, and F. Fallside 
721 

Oriented Non-Radial Basis Functions for Image Coding and Analysis . 
Avijit Saha, Jim Christian, D.S. Tang, and Chuan-Lin Wu 
728 

Computing with Arrays of Bell-Shaped and Sigrnoid Functions . 
Pierre Baldi 
735 

Discrete Affine Wavelet Transforms . 
Y.C. Pati and P.S. Krishnaprasad 
743 

Extensions of a Theory of Networks for Approximation and Learning . 
Federico Girosi, Tomaso Poggio, and Bruno Caprile 
750 

How Receptive Field Parameters Affect Neural Learning .. 
Bartlett W. Mel and Stephen M. Omohundro 
757 

A Competitive Modular Connectionist Architecture . 
Robert A. Jacobs and Michael I. Jordan 
767 

Evaluation of Adaptive Mixtures of Competing Experts .. 
Steven J. Nowlan and Geoffrey E. Hinton 
774 

A Framework for the Cooperation of Learning Algorithms . 
Leon Bottou and Patrick Gallinari 
781 

Connectionist Music Composition Based on Melodic and Stylistic Constraints . . 
Michael C. Mozer and Todd Soukup 
789 

Using Genetic Algorithms to Improve Pattern Classification Performance . 
Eric I. Chang and Richard P. Lippmann 
797 

Evolution and Learning in Neural Networks .. 
Ron Keesing and David G. Stork 
804 

Designing Linear Threshold Based Neural Network Pattern Classifiers . 
Terrence L. Fine 
811 

On Stochastic Complexity and Admissible Models for Neural Network Classifiers 
Padhraic Smyth 
818 

Efficient Design of Boltzmann Machines . 
Ajay Gupta and Wolfgang Maass 
825 

Note on Learning Rate Schedules for Stochastic Optimization . 
Christian Darken and John Moody 
832 

Convergence of a Neural Network Classifier . 
John S. Baras and Anthony LaVigna 
839 

Learning Theory and Experiments with Competitive Networks . 
Griff L. Bilbro and David E. Van den Bout 
846 

Transforming Neural-Net Output Levels to Probability Distributions . 
John S. Denker and Yann leCun 
853 

Back Propagation is Sensitive to Initial Conditions . 
John F. Kolen and Jordan B. Pollack 
860 

Closed-Form Inversion of Backpropagation Networks 
Michael L. Rossen 
868 

Generalization by Weight-Elimination with Application to Forecasting . 
Andreas S. Weigend, David E. Rumelhart, and Bernardo A. Huberman 
875 

The Devil and the Network . 
Sanjay Biswas and Santosh S. Venkatesh 
883 

Generalization Dynamics in LMS Trained Linear Networks . 
Yves Chauvin 
890 

Dynamics of Generalization in Linear Perceptrons . 
Anders Krogh and John A. Hertz 
897 

Constructing Hidden Units Using Examples and Queries .. 
Eric B. Baum and Kevin J. Lang 
904 

Can Neural Networks do Better Than the Vapnik-Chervonenkis Bounds? . 
David Cohn and Gerald Tesauro 
911 

Second Order Properties of Error Surfaces . 
Yann Le Cun, Ido Kanter, and Sara A. Solla 
918 

Chaitin-Kolmogorov Complexity and Generalization in Neural Networks . 
Barak A. Pearlmutter and Ronald Rosenfeld 
925 

Asymptotic Slowing Down of the Nearest-Neighbor Classifier . 
Robert R. Snapp, Demetri Psaltis, and Santosh S. Venkatesh 
932 

Remarks on Interpolation and Recognition Using Neural Nets . 
Eduardo D. Sontag 
939 

e-Entropy and the Complexity of Feedforward Neural Networks . 
Robert C. Williamson 
946 

On The Circuit Complexity of Neural Networks . 
V.P. Roychowdhury, A. Orlitsky, K.Y. Siu, and T. Kailath 
953 

Comparison of Three Classification Techniques, CART, C4.5 and Multi-Layer Perceptrons .. 
A.C. Tsoi and R.A. Pearson 
963 

Practical Characteristics of Neural Network and Conventional Pattern Classifiers. 
Kenney Ng and Richard P. Lippmann 
970 

Time Trials on Second-Order and Variable-Learning-Rate Algorithms . 
Richard Rohwer 
977 

Kohonen Networks and Clustering . 
Wesley Snyder, Daniel Nissman, David Van den Bout, and Griff Bilbro 
984 

VLSI Implementations of Learning and Memory Systems .. 
Mark A. Holier 
993 

Compact EEPROM-based Weight Functions .. 
A. Kramer, C.K. Sin, R. Chu, and P.K. Ko 
1001 

An Analog VLSI Splining Network . 
Daniel B. Schwartz and Vijay K. Samalam 
1008 

Relaxation Networks for Large Supervised Learning Problems . 
Joshua Alspector, Robert B. Allen, Anthony ]ayakumar, Torsten Zeppenfeld, and Ronny Meir 
1015 

Design and Implementation of a High Speed CMAC Neural Network . 
W. Thomas Miller, III, Brian A. Box, Erich C. Whitney, and James M. Glynn 
1022 

Back Propagation Implementation . 
Hal McCartor 
1028 

Reconfigurable Neural Net Chip with 32K Connections .. 
H.P. Graf, R. Janow, D. Henderson, and R. Lee 
1032 

Simulation of the Neocognitron on a CCD Parallel Processing Architecture . . . 
Michad L. Chuang and Alice M. Chiang 
1039 

VLSI Implementation of TInMANN . 
Matt Melton, Tan Phan, Doug Reeves, and Dave Van den Bout 
1046 
