NIPS Proceedings^β

Neural Information Processing Systems (NIPS 1987)

The papers below appear in Neural Information Processing Systems edited by D.Z. Anderson.
They are proceedings from the conference, "Neural Information Processing Systems 1987."

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