NeurIPS 1987

90 papers

A 'Neural' Network That Learns to Play Backgammon Gerald Tesauro, Terrence J. Sejnowski

A Computer Simulation of Cerebral Neocortex: Computational Capabilities of Nonlinear Neural Networks Alexander Singer, John P. Donoghue

A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information James M. Bower, Matthew A. Wilson

A Dynamical Approach to Temporal Pattern Processing W. Scott Stornetta, Tad Hogg, Bernardo A. Huberman

A Mean Field Theory of Layer IV of Visual Cortex and Its Application to Artificial Neural Networks Christopher L. Scofield

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

A Neural Network Classifier Based on Coding Theory Tzi-Dar Chiueh, Rodney Goodman

A Neural-Network Solution to the Concentrator Assignment Problem Gene A. Tagliarini, Edward W. Page

A Novel Net That Learns Sequential Decision Process Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen

A Trellis-Structured Neural Network Thomas Petsche, Bradley W. Dickinson

An Adaptive and Heterodyne Filtering Procedure for the Imaging of Moving Objects F. H. Schuling, H. A. K. Mastebroek, W. H. Zaagman

An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification Les E. Atlas, Toshiteru Homma, Robert J. Marks Ii

An Optimization Network for Matrix Inversion Ju-Seog Jang, Soo-Young Lee, Sang-Yung Shin

Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems J. Bernasconi

Analysis of Distributed Representation of Constituent Structure in Connectionist Systems Paul Smolensky

Basins of Attraction for Electronic Neural Networks Charles M. Marcus, R. M. Westervelt

Bit-Serial Neural Networks Alan F. Murray, Anthony V. W. Smith, Zoe F. Butler

Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models James D. Keeler

Centric Models of the Orientation mAP in Primary Visual Cortex William Baxter, Bruce Dow

Computing Motion Using Resistive Networks Christof Koch, Jin Luo, Carver Mead, James Hutchinson

Connecting to the past Bruce A. MacDonald

Connectivity Versus Entropy Yaser S. Abu-Mostafa

Constrained Differential Optimization John C. Platt, Alan H. Barr

Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons Eberhard E. Fetz

Cycles: A Simulation Tool for Studying Cyclic Neural Networks Michael T. Gately

Discovering Structure from Motion in Monkey, Man and Machine Ralph M. Siegel

Distributed Neural Information Processing in the Vestibulo-Ocular System Clifford Lau, Vicente Honrubia

Encoding Geometric Invariances in Higher-Order Neural Networks C. Lee Giles, R. D. Griffin, T. Maxwell

Ensemble' Boltzmann Units Have Collective Computational Properties like Those of Hopfield and Tank Neurons Mark Derthick, Joe Tebelskis

Experimental Demonstrations of Optical Neural Computers Ken Hsu, David Brady, Demetri Psaltis

Generalization of Back Propagation to Recurrent and Higher Order Neural Networks Fernando J. Pineda

Hierarchical Learning Control - An Approach with Neuron-like Associative Memories Enis Ersü, Henning Tolle

High Density Associative Memories Amir Dembo, Ofer Zeitouni

High Order Neural Networks for Efficient Associative Memory Design Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz

How Neural Nets Work Alan S. Lapedes, Robert M. Farber

How the Catfish Tracks Its Prey: An Interactive "Pipelined" Processing System May Direct Foraging via Reticulospinal Neurons Jagmeet S. Kanwal

Introduction to a System for Implementing Neural Net Connections on SIMD Architectures Sherryl Tomboulian

Invariant Object Recognition Using a Distributed Associative Memory Harry Wechsler, George Lee Zimmerman

Learning a Color Algorithm from Examples Tomaso A. Poggio, Anya C. Hurlbert

Learning by State Recurrence Detection Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal

Learning in Networks of Nondeterministic Adaptive Logic Elements Richard C. Windecker

Learning on a General Network Amir F. Atiya

Learning Representations by Recirculation Geoffrey E. Hinton, James L. McClelland

Mathematical Analysis of Learning Behavior of Neuronal Models John Y. Cheung, Massoud Omidvar

Microelectronic Implementations of Connectionist Neural Networks Stuart Mackie, Hans Peter Graf, Daniel B. Schwartz, John S. Denker

Minkowski-R Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals Stephen Jose Hanson, David J. Burr

MURPHY: A Robot That Learns by Doing Bartlett W. Mel

Network Generality, Training Required, and Precision Required John S. Denker, Ben S. Wittner

Neural Net and Traditional Classifiers William Y. Huang, Richard P Lippmann

Neural Network Implementation Approaches for the Connection Machine Nathan H. Brown Jr.

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

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

On Properties of Networks of Neuron-like Elements Pierre Baldi, Santosh S. Venkatesh

On the Power of Neural Networks for Solving Hard Problems Jehoshua Bruck, Joseph W. Goodman

On Tropistic Processing and Its Applications Manuel F. Fernández

Optimal Neural Spike Classification James M. Bower, Amir F. Atiya

Optimization with Artificial Neural Network Systems: A Mapping Principle and a Comparison to Gradient Based Methods Harrison MonFook Leong

Partitioning of Sensory Data by a Cortical Network Richard Granger, Jose Ambros-Ingerson, Howard Henry, Gary Lynch

Pattern Class Degeneracy in an Unrestricted Storage Density Memory Christopher L. Scofield, Douglas L. Reilly, Charles Elbaum, Leon N. Cooper

Performance Measures for Associative Memories That Learn and Forget Anthony Kuh

Phase Transitions in Neural Networks Joshua Chover

Phasor Neural Networks André J. Noest

Presynaptic Neural Information Processing L. Richard Carley

Probabilistic Characterization of Neural Model Computations Richard M. Golden

Programmable Synaptic Chip for Electronic Neural Networks Alexander Moopenn, H. Langenbacher, A. P. Thakoor, S. K. Khanna

Reflexive Associative Memories Hendricus G. Loos

Scaling Properties of Coarse-Coded Symbol Memories Ronald Rosenfeld, David S. Touretzky

Schema for Motor Control Utilizing a Network Model of the Cerebellum James C. Houk

Self-Organization of Associative Database and Its Applications Hisashi Suzuki, Suguru Arimoto

Simulations Suggest Information Processing Roles for the Diverse Currents in Hippocampal Neurons Lyle J. Borg-Graham

Spatial Organization of Neural Networks: A Probabilistic Modeling Approach Andreas Stafylopatis, Marios D. Dikaiakos, D. Kontoravdis

Speech Recognition Experiments with Perceptrons David J. Burr

Spontaneous and Information-Triggered Segments of Series of Human Brain Electric Field Maps D. Lehmann, D. Brandeis, A. Horst, H. Ozaki, I. Pal

Stability Results for Neural Networks Anthony N. Michel, Jay A. Farrell, Wolfgang Porod

Static and Dynamic Error Propagation Networks with Application to Speech Coding A. J. Robinson, F. Fallside

Stochastic Learning Networks and Their Electronic Implementation Joshua Alspector, Robert B. Allen, Victor Hu, Srinagesh Satyanarayana

Strategies for Teaching Layered Networks Classification Tasks Ben S. Wittner, John S. Denker

Supervised Learning of Probability Distributions by Neural Networks Eric B. Baum, Frank Wilczek

Synchronization in Neural Nets Jacques J. Vidal, John Haggerty

Teaching Artificial Neural Systems to Drive: Manual Training Techniques for Autonomous Systems J. F. Shepanski, S. A. Macy

Temporal Patterns of Activity in Neural Networks Paolo Gaudiano

The Capacity of the Kanerva Associative Memory Is Exponential Philip A. Chou

The Connectivity Analysis of Simple Association Dan Hammerstrom

The Hopfield Model with Multi-Level Neurons Michael Fleisher

The Performance of Convex Set Projection Based Neural Networks Robert J. Marks Ii, Les E. Atlas, Seho Oh, James A. Ritcey

The Sigmoid Nonlinearity in Prepyriform Cortex Frank H. Eeckman

Time-Sequential Self-Organization of Hierarchical Neural Networks Ronald H. Silverman, Andrew S. Noetzel

Towards an Organizing Principle for a Layered Perceptual Network Ralph Linsker

Using Neural Networks to Improve Cochlear Implant Speech Perception Manoel Fernando Tenorio