Journal: Neural Computation

Volume 4, Issue 6

781 -- 804Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth. Rule-Based Neural Networks for Classification and Probability Estimation
805 -- 831Lars Gislén, Carsten Peterson, Bo Söderberg. Complex Scheduling with Potts Neural Networks
832 -- 834Radford M. Neal. Asymmetric Parallel Boltzmann Machines are Belief Networks
835 -- 838Nelson Morgan, Hervé Bourlard. Factoring Networks by a Statistical Method
839 -- 853Griff L. Bilbro, David E. van den Bout. Maximum Entropy and Learning Theory
854 -- 862Yuh-Dauh Lyuu, Igor Rivin. Tight Bounds on Transition to Perfect Generalization in Perceptrons
880 -- 887H. M. Wabgaonkar, Allen R. Stubberud. How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs
888 -- 900Léon Bottou, Vladimir Vapnik. Local Learning Algorithms
901 -- 921Leif H. Finkel, Paul Sajda. Object Discrimination Based on Depth-from-Occlusion
922 -- 931Andrew D. Back, Ah Chung Tsoi. An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons
932 -- 945Reinoud Maex, Guy A. Orban. A Model Circuit for Cortical Temporal Low-Pass Filtering
946 -- 957Marcus R. Frean. A Thermal Perceptron Learning Rule

Volume 4, Issue 5

621 -- 642John E. Lewis, Leon Glass. Nonlinear Dynamics and Symbolic Dynamics of Neural Networks
643 -- 646William R. Softky, Christof Koch. Cortical Cells Should Fire Regularly, But Do Not
647 -- 649Robert E. Jenkins, Ben P. Yuhas. A Simplified Neural-Network Solution through Problem Decomposition: The Case of the Truck Backer-Upper
650 -- 665Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams. Learning to Segment Images Using Dynamic Feature Binding
666 -- 681Peter König, Bernd Janosch, Thomas B. Schillen. Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning
682 -- 690Daniel L. Ruderman, William Bialek. Seeing Beyond the Nyquist Limit
691 -- 702Ralph Linsker. Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network
703 -- 711Günther Palm. On the Information Storage Capacity of Local Learning Rules
712 -- 719Yoshiyuki Kabashima, Shigeru Shinomoto. Learning Curves for Error Minimum and Maximum Likelihood Algorithms
720 -- 736David J. C. MacKay. The Evidence Framework Applied to Classification Networks
737 -- 745Lars Gislén, Carsten Peterson, Bo Söderberg. Rotor Neurons: Basic Formalism and Dynamics
746 -- 757Gary M. Scott, Jude W. Shavlik, W. Harmon Ray. Refining PID Controllers Using Neural Networks
758 -- 771Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. Toby Mottram. Ultrasound Tomography Imaging of Defects Using Neural Networks
772 -- 780William G. Baxt. Improving the Accuracy of an Artificial Neural Network Using Multiple Differently Trained Networks

Volume 4, Issue 4

473 -- 493Steven J. Nowlan, Geoffrey E. Hinton. Simplifying Neural Networks by Soft Weight-Sharing
494 -- 501Chris Bishop. Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
502 -- 517Bartlett W. Mel. NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron
518 -- 533Moshe Rapp, Yosef Yarom, Idan Segev. The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells
534 -- 545John Rinzel, Paul Frankel. Activity Patterns of a Slow Synapse Network Predicted by Explicitly Averaging Spike Dynamics
546 -- 558Thelma L. Williams. Phase Coupling in Simulated Chains of Coupled Oscillators Representing the Lamprey Spinal Cord
559 -- 572Joseph J. Atick, Zhaoping Li, A. Norman Redlich. Understanding Retinal Color Coding from First Principles
573 -- 589Daniel Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz. Interaction between Transparency and Structure from Motion
590 -- 604David J. C. MacKay. Information-Based Objective Functions for Active Data Selection
605 -- 618Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto. Four Types of Learning Curves

Volume 4, Issue 3

287 -- 317James A. Reggia, C. Lynne D Autrechy, Granger G. Sutton III, Michael Weinrich. A Competitive Distribution Theory of Neocortical Dynamics
318 -- 331David LaBerge, Marc Carter, Vincent Brown. A Network Simulation of Thalamic Circuit Operations in Selective Attention
332 -- 340Florentin Wörgötter, Ernst Niebur, Christof Koch. Generation of Direction Selectivity by Isotropic Intracortical Connections
341 -- 355Erik D. Lumer, Bernardo A. Huberman. Binding Hierarchies: A Basis for Dynamic Perceptual Grouping
356 -- 365Randall D. Beer, Hillel J. Chiel, Roger D. Quinn, Kenneth S. Espenschied, Patrik Larsson. A Distributed Neural Network Architecture for Hexapod Robot Locomotion
366 -- 381Alan F. Murray. Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Robust System
382 -- 392Reiner Lenz, Mats Österberg. Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter System
393 -- 405C. Lee Giles, Clifford B. Miller, D. Chen, H. H. Chen, Guo-Zheng Sun, Y. C. Lee. Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks
406 -- 414Raymond L. Watrous, Gary M. Kuhn. Induction of Finite-State Languages Using Second-Order Recurrent Networks
415 -- 447David J. C. MacKay. Bayesian Interpolation
448 -- 472David J. C. MacKay. A Practical Bayesian Framework for Backpropagation Networks

Volume 4, Issue 2

141 -- 166Roberto Battiti. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton s Method
167 -- 190Douglas A. Miller, Steven W. Zucker. Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks
191 -- 195Joshua Alspector, Torsten Zeppenfeld, Stephan Luna. A Volatility Measure for Annealing in Feedback Neural Networks
196 -- 210Joseph J. Atick, A. Norman Redlich. What Does the Retina Know about Natural Scenes?
211 -- 223Christof Koch, Heinz G. Schuster. A Simple Network Showing Burst Synchronization without Frequency Locking
224 -- 233Bruce W. Suter, Matthew Kabrisky. On a Magnitude Preserving Iterative MAXnet Algorithm
234 -- 242Jürgen Schmidhuber. Learning Complex, Extended Sequences Using the Principle of History Compression
243 -- 248Jürgen Schmidhuber. A Fixed Size Storage ::::O::::(::::n:::::::3:::) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks
249 -- 269David A. Cohn, Gerald Tesauro. How Tight Are the Vapnik-Chervonenkis Bounds?
270 -- 286Gary R. Bradski, Gail A. Carpenter, Stephen Grossberg. Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition

Volume 4, Issue 1

1 -- 58Stuart Geman, Elie Bienenstock, René Doursat. Neural Networks and the Bias/Variance Dilemma
59 -- 83Kevin Fox, Nigel Daw. A Model for the Action of NMDA Conductances in the Visual Cortex
84 -- 97Xiao-Jing Wang, John Rinzel. Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons
98 -- 107Nathan Intrator. Feature Extraction Using an Unsupervised Neural Network
108 -- 119K. P. Unnikrishnan, John J. Hopfield, David W. Tank. Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections
120 -- 130Paolo Frasconi, Marco Gori, Giovanni Soda. Local Feedback Multilayered Networks
131 -- 139Jürgen Schmidhuber. Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks