NeCo 1992

65 papers

A "Thermal" Perceptron Learning Rule Marcus R. Frean

A Competitive Distribution Theory of Neocortical Dynamics James A. Reggia, C. Lynne D'Autrechy, Granger G. Sutton Iii, Michael Weinrich

A Distributed Neural Network Architecture for Hexapod Robot Locomotion Randall D. Beer, Hillel J. Chiel, Roger D. Quinn, Kenneth S. Espenschied, Patrik Larsson

A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks Jürgen Schmidhuber

A Model Circuit for Cortical Temporal Low-Pass Filtering Reinoud Maex, Guy A. Orban

A Model for the Action of NMDA Conductances in the Visual Cortex Kevin Fox, Nigel Daw

A Network Simulation of Thalamic Circuit Operations in Selective Attention David LaBerge, Marc Carter, Vincent Brown

A Practical Bayesian Framework for Backpropagation Networks David J. C. MacKay

A Simple Network Showing Burst Synchronization Without Frequency Locking Christof Koch, Heinz G. Schuster

A Simplified Neural-Network Solution Through Problem Decomposition: The Case of the Truck Backer-Upper Robert E. Jenkins, Ben P. Yuhas

A Volatility Measure for Annealing in Feedback Neural Networks Joshua Alspector, Torsten Zeppenfeld, Stephan Luna

Activity Patterns of a Slow Synapse Network Predicted by Explicitly Averaging Spike Dynamics John Rinzel, Paul Frankel

Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons Xiao-Jing Wang, John Rinzel

An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons Andrew D. Back, Ah Chung Tsoi

Asymmetric Parallel Boltzmann Machines Are Belief Networks Radford M. Neal

Bayesian Interpolation David J. C. MacKay

Binding Hierarchies: A Basis for Dynamic Perceptual Grouping Erik D. Lumer, Bernardo A. Huberman

Complex Scheduling with Potts Neural Networks Lars Gislén, Carsten Peterson, Bo Söderberg

Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter System Reiner Lenz, Mats Österberg

Cortical Cells Should Fire Regularly, but Do Not William R. Softky, Christof Koch

Efficient Simplex-like Methods for Equilibria of Nonsymmetric Analog Networks Douglas A. Miller, Steven W. Zucker

Exact Calculation of the Hessian Matrix for the Multilayer Perceptron Chris Bishop

Factoring Networks by a Statistical Method Nelson Morgan, Hervé Bourlard

Feature Extraction Using an Unsupervised Neural Network Nathan Intrator

First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method Roberto Battiti

Four Types of Learning Curves Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto

Generation of Direction Selectivity by Isotropic Intracortical Connections Florentin Wörgötter, Ernst Niebur, Christof Koch

How Tight Are the Vapnik-Chervonenkis Bounds? David A. Cohn, Gerald Tesauro

How to Incorporate New Pattern Pairs Without Having to Teach the Previously Acquired Pattern Pairs H. M. Wabgaonkar, Allen R. Stubberud

Improving the Accuracy of an Artificial Neural Network Using Multiple Differently Trained Networks William G. Baxt

Induction of Finite-State Languages Using Second-Order Recurrent Networks Raymond L. Watrous, Gary M. Kuhn

Information-Based Objective Functions for Active Data Selection David J. C. MacKay

Interaction Between Transparency and Structure from Motion Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz

Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks C. Lee Giles, Clifford B. Miller, Dong Chen, Hsing-Hen Chen, Guo-Zheng Sun, Yee-Chun Lee

Learning Complex, Extended Sequences Using the Principle of History Compression Jürgen Schmidhuber

Learning Curves for Error Minimum and Maximum Likelihood Algorithms Yoshiyuki Kabashima, Shigeru Shinomoto

Learning Factorial Codes by Predictability Minimization Jürgen Schmidhuber

Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks Jürgen Schmidhuber

Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams

Local Feedback Multilayered Networks Paolo Frasconi, Marco Gori, Giovanni Soda

Local Learning Algorithms Léon Bottou, Vladimir Vapnik

Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network Ralph Linsker

Maximum Entropy and Learning Theory Griff L. Bilbro, David E. van den Bout

Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Robust System Alan F. Murray

Neural Networks and the Bias/Variance Dilemma Stuart Geman, Elie Bienenstock, René Doursat

NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron Bartlett W. Mel

Nonlinear Dynamics and Symbolic Dynamics of Neural Networks John E. Lewis, Leon Glass

Object Discrimination Based on Depth-from-Occlusion Leif H. Finkel, Paul Sajda

On a Magnitude Preserving Iterative MAXnet Algorithm Bruce W. Suter, Matthew Kabrisky

On the Information Storage Capacity of Local Learning Rules Günther Palm

Phase Coupling in Simulated Chains of Coupled Oscillators Representing the Lamprey Spinal Cord Thelma L. Williams

Refining PID Controllers Using Neural Networks Gary M. Scott, Jude W. Shavlik, W. Harmon Ray

Rotor Neurons: Basic Formalism and Dynamics Lars Gislén, Carsten Peterson, Bo Söderberg

Rule-Based Neural Networks for Classification and Probability Estimation Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth

Seeing Beyond the Nyquist Limit Daniel L. Ruderman, William Bialek

Simplifying Neural Networks by Soft Weight-Sharing Steven J. Nowlan, Geoffrey E. Hinton

Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections K. P. Unnikrishnan, John J. Hopfield, David W. Tank

Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning Peter König, Bernd Janosch, Thomas B. Schillen

The Evidence Framework Applied to Classification Networks David J. C. MacKay

The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells Moshe Rapp, Yosef Yarom, Idan Segev

Tight Bounds on Transition to Perfect Generalization in Perceptrons Yuh-Dauh Lyuu, Igor Rivin

Ultrasound Tomography Imaging of Defects Using Neural Networks Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. Toby Mottram

Understanding Retinal Color Coding from First Principles Joseph J. Atick, Zhaoping Li, A. Norman Redlich

What Does the Retina Know About Natural Scenes? Joseph J. Atick, A. Norman Redlich

Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition Gary R. Bradski, Gail A. Carpenter, Stephen Grossberg