Neural Information Processing Systems 0

NIPS 1987

Edited by D. Anderson

90 papers

Synchronization in Neural Nets Jacques J. Vidal, John Haggerty
Static and Dynamic Error Propagation Networks with Application to Speech Coding A. J. Robinson, F. Fallside
PATTERN CLASS DEGENERACY IN AN UNRESTRICTED STORAGE DENSITY MEMORY Christopher L. Scofield, Douglas L. Reilly, Charles Elbaum, Leon N. Cooper
Introduction to a System for Implementing Neural Net Connections on SIMD Architectures Sherryl Tomboulian
The Capacity of the Kanerva Associative Memory is Exponential Philip A. Chou
How Neural Nets Work Alan S. Lapedes, Robert M. Farber
A Trellis-Structured Neural Network Thomas Petsche, Bradley W. Dickinson
Connecting to the Past Bruce A. MacDonald
Phase Transitions in Neural Networks Joshua Chover
MURPHY: A Robot that Learns by Doing Bartlett W. Mel
Centric Models of the Orientation Map in Primary Visual Cortex William Baxter, Bruce Dow
A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information James M. Bower, Matthew A. Wilson
Learning a Color Algorithm from Examples Tomaso A. Poggio, Anya C. Hurlbert
Phasor Neural Networks André J. Noest
Cycles: A Simulation Tool for Studying Cyclic Neural Networks Michael T. Gately
A Method for the Design of Stable Lateral Inhibition Networks that is Robust in the Presence of Circuit Parasitics John L. Wyatt Jr., D. L. Standley
Encoding Geometric Invariances in Higher-Order Neural Networks C. Lee Giles, R. D. Griffin, T. Maxwell
Scaling Properties of Coarse-Coded Symbol Memories Ronald Rosenfeld, David S. Touretzky
HOW THE CATFISH TRACKS ITS PREY: AN INTERACTIVE "PIPELINED" PROCESSING SYSTEM MAY DIRECT FORAGING VIA RETICULOSPINAL NEURONS Jagmeet S. Kanwal
Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models James D. Keeler
A NEURAL NETWORK CLASSIFIER BASED ON CODING THEORY Tzi-Dar Chiueh, Rodney Goodman
Probabilistic Characterization of Neural Model Computations Richard M. Golden
A Novel Net that Learns Sequential Decision Process Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen
An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects F. H. Schuling, H. A. K. Mastebroek, W. H. Zaagman
Strategies for Teaching Layered Networks Classification Tasks Ben S. Wittner, John S. Denker
Neuromorphic Networks Based on Sparse Optical Orthogonal Codes Mario P. Vecchi, Jawad A. Salehi
New Hardware for Massive Neural Networks Darryl D. Coon, A. G. Unil Perera
Mathematical Analysis of Learning Behavior of Neuronal Models John Y. Cheung, Massoud Omidvar
Bit-Serial Neural Networks Alan F. Murray, Anthony V. W. Smith, Zoe F. Butler
The Sigmoid Nonlinearity in Prepyriform Cortex Frank H. Eeckman
Neural Net and Traditional Classifiers William Y. Huang, Richard P Lippmann
Time-Sequential Self-Organization of Hierarchical Neural Networks Ronald H. Silverman, Andrew S. Noetzel
Using Neural Networks to Improve Cochlear Implant Speech Perception Manoel Fernando Tenorio
Learning in Networks of Nondeterministic Adaptive Logic Elements Richard C. Windecker
Learning on a General Network Amir F. Atiya
Analysis of Distributed Representation of Constituent Structure in Connectionist Systems Paul Smolensky
Generalization of Back propagation to Recurrent and Higher Order Neural Networks Fernando J. Pineda
HIGH DENSITY ASSOCIATIVE MEMORIES Amir Dembo, Ofer Zeitouni
A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks Alexander Singer, John P. Donoghue
A Neural-Network Solution to the Concentrator Assignment Problem Gene A. Tagliarini, Edward W. Page
Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons Eberhard E. Fetz
The Connectivity Analysis of Simple Association Dan Hammerstrom
Temporal Patterns of Activity in Neural Networks Paolo Gaudiano
An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification Les E. Atlas, Toshiteru Homma, Robert J. Marks II
Computing Motion Using Resistive Networks Christof Koch, Jin Luo, Carver Mead, James Hutchinson
On Properties of Networks of Neuron-Like Elements Pierre Baldi, Santosh S. Venkatesh
Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems J. Bernasconi
Optimal Neural Spike Classification James M. Bower, Amir F. Atiya
An Optimization Network for Matrix Inversion Ju-Seog Jang, Soo-Young Lee, Sang-Yung Shin
On the Power of Neural Networks for Solving Hard Problems Jehoshua Bruck, Joseph W. Goodman
Programmable Synaptic Chip for Electronic Neural Networks Alexander Moopenn, H. Langenbacher, A. P. Thakoor, S. K. Khanna
Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories Enis Ersü, Henning Tolle
SPONTANEOUS AND INFORMATION-TRIGGERED SEGMENTS OF SERIES OF HUMAN BRAIN ELECTRIC FIELD MAPS D. Lehmann, D. Brandeis, A. Horst, H. Ozaki, I. Pal
High Order Neural Networks for Efficient Associative Memory Design Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz
Constrained Differential Optimization John C. Platt, Alan H. Barr
REFLEXIVE ASSOCIATIVE MEMORIES Hendricus G. Loos
Learning Representations by Recirculation Geoffrey E. Hinton, James L. McClelland
A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks Christopher L. Scofield
Stability Results for Neural Networks Anthony N. Michel, Jay A. Farrell, Wolfgang Porod
Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons Lyle J. Borg-Graham
Speech Recognition Experiments with Perceptrons David J. Burr
Network Generality, Training Required, and Precision Required John S. Denker, Ben S. Wittner
Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems J. F. Shepanski, S. A. Macy
Distributed Neural Information Processing in the Vestibulo-Ocular System Clifford Lau, Vicente Honrubia
Stochastic Learning Networks and their Electronic Implementation Joshua Alspector, Robert B. Allen, Victor Hu, Srinagesh Satyanarayana
On Tropistic Processing and Its Applications Manuel F. Fernández
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals Stephen Jose Hanson, David J. Burr
Experimental Demonstrations of Optical Neural Computers Ken Hsu, David Brady, Demetri Psaltis
Discovering Structure from Motion in Monkey, Man and Machine Ralph M. Siegel
The Performance of Convex Set Projection Based Neural Networks Robert J. Marks II, Les E. Atlas, Seho Oh, James A. Ritcey
Microelectronic Implementations of Connectionist Neural Networks Stuart Mackie, Hans Peter Graf, Daniel B. Schwartz, John S. Denker
Connectivity Versus Entropy Yaser S. Abu-Mostafa
Invariant Object Recognition Using a Distributed Associative Memory Harry Wechsler, George Lee Zimmerman
Ensemble' Boltzmann Units have Collective Computational Properties like those of Hopfield and Tank Neurons Mark Derthick, Joe Tebelskis
Performance Measures for Associative Memories that Learn and Forget Anthony Kuh
Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods Harrison MonFook Leong
Towards an Organizing Principle for a Layered Perceptual Network Ralph Linsker
A 'Neural' Network that Learns to Play Backgammon Gerald Tesauro, Terrence J. Sejnowski
Supervised Learning of Probability Distributions by Neural Networks Eric B. Baum, Frank Wilczek
PARTITIONING OF SENSORY DATA BY A CORTICAL NETWORK Richard Granger, Jose Ambros-Ingerson, Howard Henry, Gary Lynch
A Dynamical Approach to Temporal Pattern Processing W. Scott Stornetta, Tad Hogg, Bernardo A. Huberman
Neural Network Implementation Approaches for the Connection Machine Nathan H. Brown Jr.
Spatial Organization of Neural Networks: A Probabilistic Modeling Approach Andreas Stafylopatis, Marios D. Dikaiakos, D. Kontoravdis
Self-Organization of Associative Database and Its Applications Hisashi Suzuki, Suguru Arimoto
Neural Networks for Template Matching: Application to Real-Time Classification of the Action Potentials of Real Neurons James M. Bower, Yiu-Fai Wong, Jashojiban Banik
LEARNING BY STATE RECURRENCE DETECTION Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal
Schema for Motor Control Utilizing a Network Model of the Cerebellum James C. Houk
Presynaptic Neural Information Processing L. Richard Carley
The Hopfield Model with Multi-Level Neurons Michael Fleisher
Basins of Attraction for Electronic Neural Networks Charles M. Marcus, R. M. Westervelt

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