BBC Russian

Svoboda | Graniru | BBC Russia | Golosameriki | Facebook

Neural Information Processing Systems 0 (NIPS 1987)

Edited by: D. Anderson

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