NIPS'1987 Volume 0 - Table of Contents

Dana Anderson (ed), American Institute of Physics (1988)

i	Title Pages
v	Introduction
vii	Table of Contents
0001	Connectivity Versus Entropy Yaser S. Abu-Mostafa
0009	Stochastic Learning Networks and their Electronic Implementation Joshua Alspector, Robert B. Allen, Victor Hu, and Srinagesh Satyanarayana
0022	Learning on a General Network Amir F. Atiya
0031	An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification Les E. Atlas, Toshiteru Homma, and Robert J. Marks II
0041	On Properties of Networks of Neuron-Like Elements Pierre Baldi and Santosh S. Venkatesh
0052	Supervised Learning of Probability Distributions by Neural Networks Eric B. Baum and Frank Wilczek
0062	Centric Models of the Orientation Map in Primary Visual Cortex William Baxter and Bruce Dow
0072	Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems J. Bernasconi
0082	Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons Lyle J. Borg-Graham
0095	Optimal Neural Spike Classification James M. Bower and Amir F. Atiya
0103	Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons James M. Bower, Yiu-fai Wong, and Jashojiban Banik
0114	A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information James M. Bower and Matthew A. Wilson
0127	Neural Network Implementation Approaches for the Connection Machine Nathan H. Brown, Jr.
0137	On the Power of Neural Networks for Solving Hard Problems Jehoshua Bruck and Joseph W. Goodman
0144	Speech Recognition Experiments with Perceptrons David J. Burr
0154	Presynaptic Neural Information Processing L. Richard Carley
0164	Mathematical Analysis of Learning Behavior of Neuronal Models John Y. Cheung and Massoud Omidvar
0174	A Neural Network Classifier Based on Coding Theory Tzi-Dar Chiueh and Rodney Goodman
0184	The Capacity of the Kanerva Associative Memory is Exponential P. A. Chou
0192	Phase Transitions in Neural Networks Joshua Chover
0201	New Hardware for Massive Neural Networks D. D. Coon and A. G. U. Perera
0211	High Density Associative Memories Amir Dembo and Ofer Zeitouni
0219	Network Generality, Training Required, and Precision Required John S. Denker and Ben S. Wittner
0223	'Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons Mark Derthick and Joe Tebelskis
0233	High Order Neural Networks for Efficient Associative Memory Design G. Dreyfus, I. Guyon, J. P. Nadal, and L. Personnaz
0242	The Sigmoid Nonlinearity in Prepyriform Cortex Frank H. Eeckman
0249	Hierarchical Learning Control--An Approach with Neuron-Like Associative Memories E. Ersu and H. Tolle
0262	On Tropistic Processing and Its Applications Manuel F. Fernández
0270	Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons Eberhard E. Fetz
0278	The Hopfield Model with Multi-Level Neurons Michael Fleisher
0290	Cycles: A Simulation Tool for Studying Cyclic Neural Networks MichaelT. Gately
0297	Temporal Patterns of Activity in Neural Networks Paolo Gaudiano
0301	Encoding Geometric Invariances in Higher-Order Neural Networks C. Lee Giles, R. D. Griffin, and T. Maxwell
0310	Probabilistic Characterization of Neural Model Computations Richard M. Golden
0317	Partitioning of Sensory Data by a Cortical Network Richard Granger, Jose Ambros-Ingerson, Howard Henry, and Gary Lynch
0338	The Connectivity Analysis of Simple Association Dan Hammerstrom
0348	Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals Stephen J. Hanson and David J. Burr
0358	Learning Representations by Recirculation Geoffrey E. Hinton and James L. McClelland
0367	Schema for Motor Control Utilizing a Network Model of the Cerebellum James C. Houk
0377	Experimental Demonstrations of Optical Neural Computers Ken Hsu, David Brady, and Demetri Psaltis
0387	Neural Net and Traditional Classifiers William Y. Huang and Richard P. Lippmann
0397	An Optimization Network for Matrix Inversion Ju-Seog Jang, Soo-Young Lee, and Sang-Yung Shin
0402	How the Catfish Tracks Its Prey: An Interactive 'Pipelined' Processing System May Direct Foraging via Reticulospinal Neurons Jagmeet S. Kanwal
0412	Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models James D. Keeler
0422	Computing Motion Using Resistive Networks Christof Koch, Jin Luo, Carver Mead, and James Hutchinson
0432	Performance Measures for Associative Memories that Learn and Forget Anthony Kuh
0442	How Neural Nets Work Alan Lapedes and Robert Farber
0457	Distributed Neural Information Processing in the Vestibulo-Ocular System Clifford Lau and Vicente Honrubia
0467	Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps Dietrich Lehmann, D. Brandeis, A. Horst, H. Ozaki, and I. Pal
0474	Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods Harrison MonFook Leong
0485	Towards an Organizing Principle for a Layered Perceptual Network Ralph Linsker
0495	Reflexive Associative Memories Hendricus G. Loos
0505	Connecting to the Past Bruce MacDonald
0515	Microelectronic Implementations of Connectionist Neural Networks Stuart Mackie, Hans P. Graf, Daniel B. Schwartz, and John S. Denker
0524	Basins of Attraction for Electronic Neural Networks Charles M. Marcus and R. M. Westervelt
0534	The Performance of Convex Set Projection Based Neural Networks Robert J. Marks II, Les E. Atlas, Seho Oh, and James A. Ritcey
0544	MURPHY: A Robot that Learns by Doing Bartlett W. Mel
0554	Stability Results for Neural Networks A. N. Michel, J. A. Farrell, and W. Porod
0564	Programmable Synaptic Chip for Electronic Neural Networks Alexander Moopenn, H. Langenbacher, A. P. Thakoor, and S. K. Khanna
0573	Bit-Serial Neural Networks Alan F. Murray, Anthony V. W. Smith, and Zoe F. Butler
0584	Phasor Neural Networks Andre J. Noest
0592	A Trellis-Structured Neural Network Thomas Petsche and Bradley W. Dickinson
0602	Generalization of Back propagation to Recurrent and Higher Order Neural Networks Fernando J. Pineda
0612	Constrained Differential Optimization John C. Platt and Alan H. Barr
0622	Learning a Color Algorithm from Examples Tomaso A. Poggio and Anya C. Huribert
0632	Static and Dynamic Error Propagation Networks with Application to Speech Coding A. J. Robinson and F. Failside
0642	Learning by State Recurrence Detection Bruce E. Rosen, James M. Goodwin, and Jacques J. Vidal
0652	Scaling Properties of Coarse-Coded Symbol Memories Ronald Rosenfeld and David S. Touretzky
0662	An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects F. H. Schuling, H. A. K. Mastebroek, and W. H. Zaagman
0674	Pattern Class Degeneracy in an Unrestricted Storage Density Memory Christopher L. Scofield, Douglas L. Reilly, Charles Elbaum, and Leon N. Cooper
0683	A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks Christopher L. Scofield
0693	Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems J. F. Shepanski and S. A. Macy
0701	Discovering Structure from Motion in Monkey, Man and Machine Ralph M. Siegel
0709	Time-Sequential Self-Organization of Hierarchical Neural Networks Ronald H. Silverman and Andrew S. Noetzel
0715	A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks Alexander Singer and John P. Donoghue
0730	Analysis of Distributed Representation of Constituent Structure in Connectionist Systems Paul Smolensky
0740	Spatial Organization of Neural Networks: A Probabilistic Modeling Approach Andreas Stafylopatis, M. Dikaiakos, and D. Kontoravdis
0750	A Dynamical Approach to Temporal Pattern Processing W. Scott Stornetta, Tad Hogg, and Bernardo A. Huberman
0760	A Novel Net that Learns Sequential Decision Process G. Z. Sun, Y. C. Lee, and H. H. Chen
0767	Self-Organization of Associative Database and Its Applications Hisashi Suzuji and Suguru Arimoto
0775	A Neural-Network Solution to the Concentrator Assignment Problem Gene A. Tagliarini and Edward W. Page
0783	Using Neural Networks to Improve Cochlear Implant Speech Perception Manoel F. Tenorio
0794	A 'Neural' Network that Learns to Play Backgammon Gerald Tesauro and T. J. Sejnowski
0804	Introduction to a System for Implementing Neural Net Connections on SIMD Architectures Sherryl Tomboulian
0814	Neuromorphic Networks Based on Sparse Optical Orthogonal Codes Mario P. Vecchi and Jawad A. Salehi
0824	Synchronization in Neural Nets Jacques J. Vidal and John Haggerty
0830	Invariant Object Recognition Using a Distributed Associative Memory Harry Wechsler and George Lee Zimmerman
0840	Learning in Networks of Nondeterministic Adaptive Logic Elements Richard C. Windecker
0850	Strategies for Teaching Layered Networks Classification Tasks Ben S. Wittner and John S. Denker
0860	A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics John L. Wyatt, Jr. and D. L. Standley
0869	Author Index