NIPS Online: Table of Contents Vol. 0-13

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

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

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

0003	Models Wanted: Must Fit Dimensions of Sleep and Dreaming J. Allan Hobson, Adam N. Mamelak, and Jeffrey P. Sutton
0011	Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark Sydorenko and Eric D. Young
0019	Perturbing Hebbian Rules Peter Dayan and Geoffrey Goodhill
0027	Statistical Reliability of a Blowfly Movement-Sensitive Neuron Rob de Ruyter van Steveninck and William Bialek
0035	The Clusteron: Toward a Simple Abstraction for a Complex Neuron Bartlett W. Mel
0043	Network activity determines spatio-temporal integration in single cells Ojvind Bernander, Christof Koch, and Rodneyl Douglas
0051	Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony M. Zador, Brendaf Clai borne, and Thomas H. Brown
0059	Self-organisation in real neurons: Anti-Hebb in 'Channel Space'? Anthony J. Bell
0067	Single Neuron Model: Response to Weak Modulation in the Presence of Noise A.R. Bulsara, E.W. Jacobs, and F. Moss
0075	Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A.B. Bonds
0083	A comparison between a neural netwok model for the formation of brain maps and experimental data K. Obermszyer, K. Schulten, and G. G. Blasdel

Part II NEURO-DYNAMICS

0091	Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David G. Stork, and Carla J. Shatz
0101	Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James T. Buchanan
0109	Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya and Shuji Yoshizawa
0117	Burst Synchronization without Frequency Locking in a Completely Solvable Network Model Heinz Schuster and Christof Koch

Part III SPEECH

0125	Oscillatory Model of Short Term Memory David Horn and Marius Usher
0135	Multi-State Time Delay Neural Networks for Continuous Speech Recognition Patrick Haffner andAlex Waibel
0143	Modeling Applications with the Focused Gamma Net Jose C. Principe, Bert de Vries, Jyh Ming Kuo, Pedro Guedes de Oliveira
0151	Time-Warping Network: A Hybrid Framework for Speech Recognition Esther Levin, Roberto Pieraccini, and Enrico Bocchieri
0159	Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks Elliot Singer and Richard P. Lippmann
0167	Connectionist Optimisation of Tied Mixture Hidden Markov Models Steve Renals, Nelson Morgan, Herve Bourlard, Horacio Franco, and Michael Cohen
0175	Neural Network--Gaussian Mixture Hybrid for Speech Recognition or Density Estimation Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe
0183	JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay N. fain, Arthru McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, and Monika Woszczyna
0191	Forward Dynamics Modeling of Speech Motor Control Using Physiological Data Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, and Michael I. Jordan

Part IV LANGUAGE

0199	English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald A. Cole, and Krist Roginski
0209	Generalization Performance in PARSEC-A Structured Connectionist Parsing Architecture Ajay N. fain
0217	Constructing Proofs in Symmetric Networks Gadi Pinkas
0225	A Connectionist Learning Approach to Analyzing Linguistic Stress Prahlad Gupta and David S. Thuretzky
0233	Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald A. Sumida and Michael G. Dyer

Part V TEMPORAL SEQUENCES

0241	A Segment-based Automatic Language Identification System Yeshwant K. Muthusamy and Ronald A. Cole
0251	The Efficient Learning of Multiple Task Sequences Satinder P. Singh
0259	Practical Issues in Temporal Difference Learning Gerald Tesauro
0267	HARMONET: A Neural Net for Harmonizing Chorales in the Style of J.S. Bach Hermann Hild, Johannes Feulner, and Wolfram Menzel
0275	Induction of Multiscale Temporal Structure Michael C. Mozer
0283	Network Model of State-Dependent Sequencing Jeffley P. Sutton, Adam N. Mamelak, and J. Allan Hobson

Part VI RECURRENT NETWORKS

0291	Learning Unambiguous Reduced Sequence Descriptions Jurgen Schmidhuber
0301	Recurrent Networks and NARMA Modeling Jerome Connor, Les E. Atlas, and Douglas R. Martin
0309	Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond L. Watrous, and Gary M. Kuhn
0317	Extracting and Learning an Unknown Grammar with Recurrent Neural Networks C.L. Giles, C.B. Miller, D. Chen, G.Z. Sun, H.H. Chen, and Y.C. Lee
0325	Operators and curried functions: Training and analysis of simple recurrent networks Janet Wiles and Anthony Bloesch
0333	Green's Function Method for Fast On-line Learning Algorithm of Recurrent Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, and Yee-Chun Lee

PartVII VISION

0341	Dynamically-Adaptive Winner-Take-All Networks Trent E. Lange
0351	Information Processing to Create Eye Movements David A. Robinson
0356	Decoding of Neuronal Signals in Visual Pattern Recognition Emad N. Eskandar, Barryf. Richmond, John A. Hertz, Lance M. Optican, and Troels Kjer
0364	Learning How to Teach or Selecting Minimal Surface Data Davi Geiger and Ricardo A. Marques Pereira
0372	Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker and Geoffley E. Hinton
0380	Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion P.A. Viola, S. G. Lisberger, and T.J. Sejnowski
0388	Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell and Alex Pentland
0396	Markov Random Fields Can Bridge Levels of Abstraction Paul R. Cooper and Peter N. Prokopowicz
0404	Illumination and View Position in 3D Visual Recognition Amnon Shashua
0412	Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen A. Fisher, and Terrence J. Sejnowski
0420	VISIT: A Neural Model of Covert Visual Attention Subutai Ahmad
0428	Visual Grammars and their Neural Nets Eric Mjolsness
0436	Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard S. Zemel, and Marlene Behrmann
0444	Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery Hayit K. Greenspan, Rodney Goodman, and Rama Chellappa
0452	Linear Operator for Object Recognition Ronen Basri and Shimon Ullman

Part VIII OPTICAL CHARACTER RECOGNITION

0460	3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Josh I. Gold, Heinrich H. Bulthoffi and Shimon Edelman
0471	Structural Risk Minimization for Character Recognition I. Guyon, V. Vapnik, B. Boser, L. Bottou, and S.A. Solla
0480	Image Segmentation with Networks of Variable Scales Hans P. Graf, Craig R. Nohl, and Jan Ben
0488	Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann Le Cun, and John S. Denker
0496	A Self-Organizing Integrated Segmentation and Recognition Neura