Neural Information Processing Systems (NIPS 1987)

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