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
  

• Kevin Fox, Nigel Daw:
  A Model for the Action of NMDA Conductances in the Visual Cortex. 59-83
  

• 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, 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. 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 Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz:
  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, Carsten Peterson, Bo Söderberg:
  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, Carsten Peterson, Bo Söderberg:
  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, Guy A. Orban:
  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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