Neural Networks 13(1)

[Mieko Namba]

                    NEURAL NETWORKS 13(1)
            Contents - Volume 13, Number 1 - 2000

_______________________________________________________________
EDITORIAL:

Our millennium issue!
S. Grossberg, M. Kawato, J.G. Taylor


NEURAL NETWORKS LETTERS:

A learning rule for dynamic recruitment and decorrelation
K.P. Kording, P. Konig


CURRENT OPINIONS:

A proposed name for aperiodic brain activity: stochastic chaos
W.J. Freeman

Neural networks are useful tools for drug design
G. Schneider

How good are support vector machines?
S. Raudys


ARTICLES:

*** Psychology and Cognitive Science ***

Anxiety-like behavior in rats: a computational model
C. Salum, S. Morato, A. Roque-Da-Silva

*** Neuroscience and Neuropsychology ***

Self-organization of orientation maps in a formal neuron model
using a cluster learning rule
J. Kuroiwa, S. Inawashiro, S. Miyake, H. Aso

*** Mathematical and Computational Analysis ***

A cascade associative memory model with a hierarchical memory
structure
M. Hirahara, N. Oka, T. Kindo

Cascade associative memory storing hierarchically correlated
patterns with various correlations
M. Hirahara, O. Oka, T. Kindo

On impulsuve autoassociative neural networks
Z.-H. Guan, J. Lam, G. Chen

Pattern segmentation in a binary/analog world: unsupervised
learning versus memory storing
C. Lourenco, A. Babloyantz, M. Hougardy

Partially pre-calculated weights for the backpropagation learning
regime and high accuracy function mapping using continuous input
RAM-based sigma-pi Nets
R.S. Neville, T.J. Stonham, R.J. Glover

*** Engineering and Design ***

Neural net based MRAC for a class of nonlinear plants
M.S. Ahmed

*** Technology and Applications  ***

Training neural networks to be insensitive to weight random
variations
S. Orcioni


BOOK REVIEW:

Reinforcement learning: an introduction
R.P.N. Rao

_______________________________________________________________

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