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ORCIDNeural Computation, Volume 5
Volume 5, Number 1, January 1993
- M. Griniasty, M. V. Tsodyks, Daniel J. Amit:
Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors. 1-17
- Ji-Nan Lin, Rolf Unbehauen:
On the Realization of a Kolmogorov Network. 18-20
- Leonid Kruglyak, William Bialek:
Statistical Mechanics for a Network of Spiking Neurons. 21-31 - Michael E. Hasselmo:
Acetylcholine and Learning in a Cortical Associative Memory. 32-44 - Joseph J. Atick, A. Norman Redlich:
Convergent Algorithm for Sensory Receptive Field Development. 45-60 - Nathan Intrator, Joshua I. Gold:
Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features. 61-74 - Joachim M. Buhmann, Hans Kühnel:
Complexity Optimized Data Clustering by Competitive Neural Networks. 75-88 - Yiu-fai Isaac Wong:
Clustering Data by Melting. 89-104 - Gustavo Deco, Jürgen Ebmeyer:
Coarse Coding Resource-Allocating Network. 105-114 - James A. Kottas:
Training Periodic Sequences Using Fourier Series Error Criterion. 115-131 - Yoshikane Takahashi:
Generalization and Approximation Capabilities of Multilayer Networks. 132-139 - Shun-ichi Amari, Noboru Murata:
Statistical Theory of Learning Curves under Entropic Loss Criterion. 140-153 - Erol Gelenbe
:
Learning in the Recurrent Random Neural Network. 154-164
Volume 5, Number 2, March 1993
- Olivier Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, Sylvie Marcos:
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms. 165-199
- Rajagopal Srinivasan, Hillel J. Chiel:
Fast Calculation of Synaptic Conductances. 200-204 - Peter Dayan, Terrence J. Sejnowski:
The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning. 205-209 - Gary David Kendall, Trevor J. Hall:
Optimal Network Construction by Minimum Description Length. 210-212
- Diana E. J. Blazis, Thomas M. Fischer, Thomas J. Carew:
A Neural Network Model of Inhibitory Information Processing in Aplysia. 213-227 - Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus:
Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus. 228-241 - Sungzoon Cho, James A. Reggia:
Learning Competition and Cooperation. 242-259 - David E. Cairns, Roland J. Baddeley, Leslie S. Smith:
Constraints on Synchronizing Oscillator Networks. 260-266 - Suzanna Becker, Geoffrey E. Hinton:
Learning Mixture Models of Spatial Coherence. 267-277 - Yaser S. Abu-Mostafa:
Hints and the VC Dimension. 278-288 - A. Norman Redlich:
Redundancy Reduction as a Strategy for Unsupervised Learning. 289-304 - Jooyoung Park, Irwin W. Sandberg:
Approximation and Radial-Basis-Function Networks. 305-316 - Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil:
A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results. 317-330 - Mattias Ohlsson, Carsten Peterson, Bo Söderberg:
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem. 331-339
Volume 5, Number 3, May 1993
- Michel Kerszberg, Jean-Pierre Changeux:
A Model for Motor Endplate Morphogenesis: Diffusible Morphogens, Transmembrane Signaling, and Compartmentalized Gene Expression. 341-358
- Neil E. Cotter, Peter R. Conwell:
Universal Approximation by Phase Series and Fixed-Weight Networks. 359-362 - Liping Yang, Wanzhen Yu:
Backpropagation with Homotopy. 363-366 - Jane Bromley, John S. Denker:
Improving Rejection Performance on Handwritten Digits by Training with "Rubbish". 367-370 - Peter L. Bartlett:
Vapnik-Chervonenkis Dimension Bounds for Two- and Three-Layer Networks. 371-373
- Markus Lappe, Josef P. Rauschecker:
A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals. 374-391 - Peter Dayan:
Arbitrary Elastic Topologies and Ocular Dominance. 392-401 - Pierre Baldi, Yves Chauvin:
Neural Networks for Fingerprint Recognition. 402-418 - Gale L. Martin:
Centered-Object Integrated Segmentation and Recognition of Overlapping Handprinted Characters. 419-429 - Alex Pentland:
Surface Interpolation Networks. 430-442 - Nathan Intrator:
Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks. 443-455 - Andrew D. Back, Ah Chung Tsoi:
A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons. 456-462 - Toshiaki Tanaka, Miki Yamada:
The Characteristics of the Convergence Time of Associative Neural Networks. 463-472 - P. Kerlirzin, F. Vallet:
Robustness in Multilayer Perceptrons. 473-482 - Thorsteinn S. Rögnvaldsson:
Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling Behavior. 483-491 - Charles R. Rosenberg, Jacob Erel, Henri Atlan:
A Neural Network That Learns to Interpret Myocardial Planar Thallium Scintigrams. 492-502
Volume 5, Number 4, July 1993
- Bruce Denby:
The Use of Neural Networks in High-Energy Physics. 505-549
- E. R. Grannan, D. Kleinfeld, Haim Sompolinsky:
Stimulus-Dependent Synchronization of Neuronal Assemblies. 550-569
- Marius Usher, Heinz G. Schuster, Ernst Niebur:
Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory. 570-586 - Catherine H. Ferrar, Thelma L. Williams, Graham Bowtell:
The Effects of Cell Duplication and Noise in a Pattern Generating Network. 587-596 - Kechen Zhang, Martin I. Sereno, Margaret E. Sereno:
Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis. 597-612 - Peter Dayan:
Improving Generalization for Temporal Difference Learning: The Successor Representation. 613-624 - Jürgen Schmidhuber, Daniel Prelinger:
Discovering Predictable Classifications. 625-635 - Michele Migliore, G. F. Ayala:
A Kinetic Model of Short- and Long-Term Potentiation. 636-647 - John G. Elias:
Artificial Dendritic Trees. 648-664
Volume 5, Number 5, September 1993
- Andrew Nicoll, Colin Blakemore:
Patterns of Local Connectivity in the Neocortex. 665-680 - Erik De Schutter, James M. Bower:
Sensitivity of Synaptic Plasticity to the Ca2+ Permeability of NMDA Channels: A Model of Long-Term Potentiation in Hippocampal Neurons. 681-694 - Yair Weiss, Shimon Edelman, Manfred Fahle:
Models of Perceptual Learning in Vernier Hyperacuity. 695-718 - Wolfgang Konen, Christoph von der Malsburg:
Learning to Generalize from Single Examples in the Dynamic Link Architecture. 719-735 - David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann:
Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. 736-749 - A. Norman Redlich:
Supervised Factorial Learning. 750-766 - Mostefa Golea, Mario Marchand:
On Learning Perceptrons with Binary Weights. 767-782 - Dhananjay S. Phatak, Hoon Choi, Israel Koren:
Construction of Minimal n-2-n Encoders for Any n. 783-794 - Vicente López, Ramón Huerta, José R. Dorronsoro:
Recurrent and Feedforward Polynomial Modeling of Coupled Time Series. 795-811 - Patrik Floréen, Pekka Orponen:
Attraction Radii in Binary Hopfield Nets are Hard to Compute. 812-821
Volume 5, Number 6, November 1993
- L. F. Abbott, Gwendal Le Masson:
Analysis of Neuron Models with Dynamically Regulated Conductances. 823-842
- Adam F. Strassberg, Louis J. DeFelice:
Limitations of the Hodgkin-Huxley Formalism: Effects of Single Channel Kinetics on Transmembrane Voltage Dynamics. 843-855 - Alexander Borst, Martin Egelhaaf, H. S. Seung:
Two-Dimensional Motion Perception in Flies. 856-868 - David S. Touretzky, A. David Redish, Hank S. Wan:
Neural Representation of Space Using Sinusoidal Arrays. 869-884 - Jeffrey N. Kidder, Daniel Seligson:
Fast Recognition of Noisy Digits. 885-892 - Vladimir Vapnik, Léon Bottou:
Local Algorithms for Pattern Recognition and Dependencies Estimation. 893-909 - An Mei Chen, Haw-minn Lu, Robert Hecht-Nielsen:
On the Geometry of Feedforward Neural Network Error Surfaces. 910-927 - Henry Leung, Simon Haykin:
Rational Function Neural Network. 928-938 - Marc M. Van Hulle, Dominique Martinez:
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle. 939-953 - Visakan Kadirkamanathan, Mahesan Niranjan:
A Function Estimation Approach to Sequential Learning with Neural Networks. 954-975 - Zheng Zeng, Rodney M. Goodman, Padhraic Smyth:
Learning Finite State Machines With Self-Clustering Recurrent Networks. 976-990
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