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Neural Computation, Volume 4
Volume 4, Number 1, January 1992
- Stuart Geman, Elie Bienenstock, René Doursat:
Neural Networks and the Bias/Variance Dilemma. 1-58
- Xiao-Jing Wang, John Rinzel:
Alternating and Synchronous Rhythms in Reciprocally Inhibitory Model Neurons. 84-97 - Nathan Intrator:
Feature Extraction Using an Unsupervised Neural Network. 98-107 - K. P. Unnikrishnan, John J. Hopfield, David W. Tank:
Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections. 108-119 - Paolo Frasconi, Marco Gori, Giovanni Soda:
Local Feedback Multilayered Networks. 120-130 - Jürgen Schmidhuber:
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks. 131-139
Volume 4, Number 2, March 1992
- Roberto Battiti:
First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method. 141-166
- Douglas A. Miller, Steven W. Zucker:
Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks. 167-190
- Joshua Alspector, Torsten Zeppenfeld, Stephan Luna:
A Volatility Measure for Annealing in Feedback Neural Networks. 191-195
- Joseph J. Atick, A. Norman Redlich:
What Does the Retina Know about Natural Scenes? 196-210 - Christof Koch, Heinz G. Schuster:
A Simple Network Showing Burst Synchronization without Frequency Locking. 211-223 - Bruce W. Suter, Matthew Kabrisky:
On a Magnitude Preserving Iterative MAXnet Algorithm. 224-233 - Jürgen Schmidhuber:
Learning Complex, Extended Sequences Using the Principle of History Compression. 234-242 - Jürgen Schmidhuber:
A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks. 243-248 - David A. Cohn, Gerald Tesauro:
How Tight Are the Vapnik-Chervonenkis Bounds? 249-269 - Gary R. Bradski, Gail A. Carpenter, Stephen Grossberg:
Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition. 270-286
Volume 4, Number 3, May 1992
- James A. Reggia, C. Lynne D'Autrechy, Granger G. Sutton III, Michael Weinrich:
A Competitive Distribution Theory of Neocortical Dynamics. 287-317
- David LaBerge, Marc Carter, Vincent Brown:
A Network Simulation of Thalamic Circuit Operations in Selective Attention. 318-331 - Florentin Wörgötter, Ernst Niebur, Christof Koch:
Generation of Direction Selectivity by Isotropic Intracortical Connections. 332-340 - Erik D. Lumer, Bernardo A. Huberman:
Binding Hierarchies: A Basis for Dynamic Perceptual Grouping. 341-355 - Randall D. Beer, Hillel J. Chiel, Roger D. Quinn, Kenneth S. Espenschied, Patrik Larsson:
A Distributed Neural Network Architecture for Hexapod Robot Locomotion. 356-365 - Alan F. Murray:
Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Robust System. 366-381 - Reiner Lenz
, Mats Österberg:
Computing the Karhunen-Loeve Expansion with a Parallel, Unsupervised Filter System. 382-392 - C. Lee Giles
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks. 393-405 - Raymond L. Watrous, Gary M. Kuhn:
Induction of Finite-State Languages Using Second-Order Recurrent Networks. 406-414 - David J. C. MacKay:
Bayesian Interpolation. 415-447 - David J. C. MacKay:
A Practical Bayesian Framework for Backpropagation Networks. 448-472
Volume 4, Number 4, July 1992
- Steven J. Nowlan, Geoffrey E. Hinton:
Simplifying Neural Networks by Soft Weight-Sharing. 473-493
- Chris Bishop:
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron. 494-501
- Bartlett W. Mel:
NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron. 502-517 - Moshe Rapp, Yosef Yarom, Idan Segev:
The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells. 518-533 - John Rinzel, Paul Frankel:
Activity Patterns of a Slow Synapse Network Predicted by Explicitly Averaging Spike Dynamics. 534-545 - Thelma L. Williams:
Phase Coupling in Simulated Chains of Coupled Oscillators Representing the Lamprey Spinal Cord. 546-558 - Joseph J. Atick, Zhaoping Li, A. Norman Redlich:
Understanding Retinal Color Coding from First Principles. 559-572 - Daniel J. Kersten, Heinrich H. Bülthoff
Interaction between Transparency and Structure from Motion. 573-589 - David J. C. MacKay:
Information-Based Objective Functions for Active Data Selection. 590-604 - Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto:
Four Types of Learning Curves. 605-618
Volume 4, Number 5, September 1992
- John E. Lewis, Leon Glass:
Nonlinear Dynamics and Symbolic Dynamics of Neural Networks. 621-642
- William R. Softky, Christof Koch:
Cortical Cells Should Fire Regularly, But Do Not. 643-646 - Robert E. Jenkins, Ben P. Yuhas:
A Simplified Neural-Network Solution through Problem Decomposition: The Case of the Truck Backer-Upper. 647-649
- Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. Williams:
Learning to Segment Images Using Dynamic Feature Binding. 650-665 - Peter König, Bernd Janosch, Thomas B. Schillen:
Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning. 666-681 - Daniel L. Ruderman, William Bialek:
Seeing Beyond the Nyquist Limit. 682-690 - Ralph Linsker:
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network. 691-702 - Günther Palm:
On the Information Storage Capacity of Local Learning Rules. 703-711 - Yoshiyuki Kabashima, Shigeru Shinomoto:
Learning Curves for Error Minimum and Maximum Likelihood Algorithms. 712-719 - David J. C. MacKay:
The Evidence Framework Applied to Classification Networks. 720-736 - Lars Gislén
Rotor Neurons: Basic Formalism and Dynamics. 737-745 - Gary M. Scott, Jude W. Shavlik, W. Harmon Ray:
Refining PID Controllers Using Neural Networks. 746-757 - Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. Toby Mottram:
Ultrasound Tomography Imaging of Defects Using Neural Networks. 758-771 - William G. Baxt:
Improving the Accuracy of an Artificial Neural Network Using Multiple Differently Trained Networks. 772-780
Volume 4, Number 6, November 1992
- Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth:
Rule-Based Neural Networks for Classification and Probability Estimation. 781-804 - Lars Gislén
Complex Scheduling with Potts Neural Networks. 805-831
- Radford M. Neal:
Asymmetric Parallel Boltzmann Machines are Belief Networks. 832-834 - Nelson Morgan, Hervé Bourlard:
Factoring Networks by a Statistical Method. 835-838
- Griff L. Bilbro, David E. van den Bout:
Maximum Entropy and Learning Theory. 839-853 - Yuh-Dauh Lyuu, Igor Rivin:
Tight Bounds on Transition to Perfect Generalization in Perceptrons. 854-862 - Jürgen Schmidhuber:
Learning Factorial Codes by Predictability Minimization. 863-879 - H. M. Wabgaonkar, Allen R. Stubberud:
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs. 880-887 - Léon Bottou, Vladimir Vapnik:
Local Learning Algorithms. 888-900 - Leif H. Finkel, Paul Sajda:
Object Discrimination Based on Depth-from-Occlusion. 901-921 - Andrew D. Back, Ah Chung Tsoi:
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons. 922-931 - Reinoud Maex
A Model Circuit for Cortical Temporal Low-Pass Filtering. 932-945 - Marcus R. Frean:
A "Thermal" Perceptron Learning Rule. 946-957
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