Volume 13, Number 1                                                                                   January 2000

    Neural Networks Letters

K. P. Kording, P. Konig   1 A learning rule for dynamic recruitment and decorrelation

    Current Opinions

W. J. Freeman  11 A proposed name for aperiodic brain activity: stochastic chaos
G. Schneider   15 Neural networks are useful tools for drug design
S. Raudys   17 How good are support vector machine?

     Psychology and Cognitive Science

C. Salum, S. Morato, A. C. Roque-da-Silva  21 Anxiety-like behavior in rats: a computational model
J. Kuroiwa, S. Inawashiro, 31 Self-organization of orientation maps in a formal
S. Miyake, H. Aso   neuron model using a cluster learning rule

     Mathematical and Computational Analysis

M. Hirahara, N. Oka, T. Kindo, 41 A cascade associative memory model with a hierarchical memory structure
M. Hirahara, N. Oka, 51 Cascade associative memory storing hierarchically
T. Kindo    correlated patterns with various correlations
Z. H. Guan, J. Lam, G. Chen,  63 On impulsive autoassociative neural networks
C. Lourenco, A. Babloyantz, M. Hougardy,  71 Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing
R. S. Neville, T. J. Stonham, R. J. Glover,  91 Partially pre-calculated weights for the backpropagation learning regime and high accuracy
function mapping using continuous input RAM-based sigma-pi nets

     Engineering and Design

M. S. Ahmed   111 Neural net based MRAC for a class of nonlinear plants

     Technology and Applications

M. Conti, S. Orcioni, C. Turchetti,  125 Training neural networks to be insensitive to weight random variations

     Book review

R. P. N. Rao,
R.S. Sutton, A.G. Barto (Eds.);  133 Reinforcement Learning: An Introduction; MIT Press, Cambridge, MA, 1998, 380 pages, ISBN 0-262-19398-1, $42.00