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*

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