Journal: Neural Computation

Volume 5, Issue 2

165 -- 199O. Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, S. Marcos. Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms
200 -- 204Rajagopal Srinivasan, Hillel J. Chiel. Fast Calculation of Synaptic Conductances
205 -- 209Peter Dayan, Terrence J. Sejnowski. The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning
210 -- 212Gary D. Kendall, Trevor J. Hall. Optimal Network Construction by Minimum Description Length
213 -- 227Diana E. J. Blazis, Thomas M. Fischer, Thomas J. Carew. A Neural Network Model of Inhibitory Information Processing in ::::Aplysia::::
228 -- 241Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus. Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus
242 -- 259Sungzoon Cho, James A. Reggia. Learning Competition and Cooperation
260 -- 266David E. Cairns, Roland J. Baddeley, Leslie S. Smith. Constraints on Synchronizing Oscillator Networks
267 -- 277Suzanna Becker, Geoffrey E. Hinton. Learning Mixture Models of Spatial Coherence
278 -- 288Yaser S. Abu-Mostafa. Hints and the VC Dimension
289 -- 304A. Norman Redlich. Redundancy Reduction as a Strategy for Unsupervised Learning
305 -- 316Jooyoung Park, Irwin W. Sandberg. Approximation and Radial-Basis-Function Networks
317 -- 330Somnath 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
331 -- 339Mattias Ohlsson, Carsten Peterson, Bo Söderberg. Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem