- Konrad P. Körding, Peter König:
**A learning rule for dynamic recruitment and decorrelation.**1-9

- Walter J. Freeman:
**A proposed name for aperiodic brain activity: stochastic chaos.**11-13

- G. Schneider:
**Neural networks are useful tools for drug design.**15-16

- Sarunas Raudys:
**How good are support vector machines?**17-19

- Cristiane Salum, Silvio Morato, Antônio C. Roque-da-Silva:
**Anxiety-like behavior in rats: a computational model.**21-29

- Jousuke Kuroiwa, Sakari Inawashiro, Shogo Miyake, Hirotomo Aso:
**Self-organization of orientation maps in a formal neuron model using a cluster learning rule.**31-40

- Makoto Hirahara, Natsuki Oka, Toshiki Kindo:
**A cascade associative memory model with a hierarchical memory structure.**41-50

- Makoto Hirahara, Natsuki Oka, Toshiki Kindo:
**Cascade associative memory storing hierarchically correlated patterns with various correlations.**51-61

- Zhi-Hong Guan, James Lam, Guanrong Chen:
**On impulsive autoassociative neural networks.**63-69

- Carlos Lourenço, Agnessa Babloyantz, Marc Hougardy:
**Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing.**71-89

- Richard Stuart Neville, T. John Stonham, Ray J. Glover:
**Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma-pi nets.**91-110

- M. S. Ahmed:
**Neural net based MRAC for a class of nonlinear plants.**111-124

- Massimo Conti, Simone Orcioni, Claudio Turchetti:
**Training neural networks to be insensitive to weight random variations.**125-132

- Simon X. Yang, Max Q.-H. Meng:
**An efficient neural network approach to dynamic robot motion planning.**143-148

- Nilendu G. Jani, Daniel S. Levine:
**A neural network theory of proportional analogy-making.**149-183

- Ronen Segev, Eshel Ben-Jacob:
**Generic modeling of chemotactic based self-wiring of neural networks.**185-199

- Neill R. Taylor, John G. Taylor:
**Hard-wired models of working memory and temporal sequence storage and generation.**201-224

- Martin C. M. Elliffe, Edmund T. Rolls, Néstor Parga, Alfonso Renart:
**A recurrent model of transformation invariance by association.**225-237

- Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin:
**Universal learning network and its application to chaos control.**239-253

- Konstantinos Alataris, Theodore W. Berger, Vasilis Z. Marmarelis:
**A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs.**255-266

- Junji Ito, Kunihiko Kaneko:
**Self-organized hierarchical structure in a plastic network of chaotic units.**275-281

- Maite Teresa Martín-Valdivia, Amparo Ruiz-Sepúlveda, F. Ruiz-Sepúlvedaz:
**Improving local minima of Hopfield networks with augmented Lagrange multipliers for large scale TSPs.**283-285

- Dirk Husmeier:
**Learning non-stationary conditional probability distributions.**287-290

- Gert J. van Tonder, Yoshimichi Ejima:
**The patchwork engine: image segmentation from shape symmetries.**291-303

- Simon M. Stringer, Edmund T. Rolls:
**Position invariant recognition in the visual system with cluttered environments.**305-315

- Kenji Fukumizu, Shun-ichi Amari:
**Local minima and plateaus in hierarchical structures of multilayer perceptrons.**317-327

- Martijn A. R. Leisink, Hilbert J. Kappen:
**Learning in higher order Boltzmann machines using linear response.**329-335

- Youshen Xia, Jun Wang:
**A recurrent neural network for solving linear projection equations.**337-350

- Stavros J. Perantonis, Vassilis Virvilis:
**Efficient perceptron learning using constrained steepest descent.**351-364

- Mark A. Kon, Leszek Plaskota:
**Information complexity of neural networks.**365-375

- A. K. Datta, Sankar K. Pal, Nikhil R. Pal:
**A connectionist model for convex-hull of a planar set.**377-384

- Shouling He, Konrad Reif, Rolf Unbehauen:
**Multilayer neural networks for solving a class of partial differential equations.**385-396

- Paulo J. G. Lisboa, Alfredo Vellido, H. Wong:
**Bias reduction in skewed binary classification with Bayesian neural networks.**407-410

- Aapo Hyvärinen, Erkki Oja:
**Independent component analysis: algorithms and applications.**411-430

- Dario Floreano, Joseba Urzelai:
**Evolutionary robots with on-line self-organization and behavioral fitness.**431-443

- Tatsuo Kitajima, Ken-ichi Hara:
**A generalized Hebbian rule for activity-dependent synaptic modifications.**445-454

- Desire Bollé, David Renato C. Dominguez-Carreta, Shun-ichi Amari:
**Mutual information of sparsely coded associative memory with self-control and ternary neurons.**455-462

- Isabelle Rivals, Léon Personnaz:
**Construction of confidence intervals for neural networks based on least squares estimation.**463-484

- Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman El-Dessouki:
**A new algorithm for learning in piecewise-linear neural networks.**485-505

- Sarunas Raudys:
**Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions.**507-523

- Mikko Lehtokangas:
**Determining the number of centroids for CMLP network.**525-531

- M. Ozkan, K. Inoue, K. Negishi, T. Yamanaka:
**Defining a neural network controller structure for a rubbertuator robot.**533-544

- Zheng-ou Wang, Tao Zhu:
**An efficient learning algorithm for improving generalization performance of radial basis function neural networks.**545-553

- Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez:
**Neural networks with a continuous squashing function in the output are universal approximators.**561-563

- Thomas Sams, Jonas Lundbek Hansen:
**Implications of physical symmetries in adaptive image classifiers.**565-570

- William D. Ross, Stephen Grossberg, Ennio Mingolla:
**Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps.**571-588

- Jean-Pierre Nadal, Elka Korutcheva, F. Aires:
**Blind source separation in the presence of weak sources.**589-596

- Simone Fiori:
**Blind signal processing by the adaptive activation function neurons.**597-611

- Mark P. Joy:
**Results concerning the absolute stability of delayed neural networks.**613-616

- Jennie Si, Siming Lin, M.-A. Vuong:
**Dynamic topology representing networks.**617-627

- Herbert K. H. Lee:
**Consistency of posterior distributions for neural networks.**629-642

- E. Lavretsky:
**On the exact solution of the Parity-N problem using ordered neural networks.**643-649

- Anna Esposito, Maria Marinaro, Domenico Oricchio, Silvia Scarpetta:
**Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm.**651-665

- Ken-ichi Arai, Ryohei Nakano:
**Stable behavior in a recurrent neural network for a finite state machine.**667-680

- Ha-Jin Yu, Yung-Hwan Oh:
**A neural network for 500 word vocabulary word spotting using non-uniform units.**681-688

- J. F. Gomez-Molina:
**Ionic current and metabolism for brain scanners (a three state-model of modular activation).**689-690

- Paul C. Kainen, Vera Kurková, Andrew Vogt:
**Best approximation by Heaviside perceptron networks.**695-697

- Murat Okatan, Stephen Grossberg:
**Frequency-dependent synaptic potentiation, depression and spike timing induced by Hebbian pairing in cortical pyramidal neurons.**699-708

- Shouji Sakamoto, Youichi Kobuchi:
**Convergence property of topographic mapping formation from cell layer to cell layer through correlation learning rule.**709-718

- Maria Marinaro, Silvia Scarpetta:
**On-line learning in RBF neural networks: a stochastic approach.**719-729

- Terence Kwok, Kate A. Smith:
**Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework.**731-744

- Jiye Zhang, Xuesong Jin:
**Global stability analysis in delayed Hopfield neural network models.**745-753

- Hyeyoung Park, Shun-ichi Amari, Kenji Fukumizu:
**Adaptive natural gradient learning algorithms for various stochastic models.**755-764

- Alexander G. Parlos, Omar T. Rais, Amir F. Atiya:
**Multi-step-ahead prediction using dynamic recurrent neural networks.**765-786

- Katheryn Margaret Adeney, Michael J. Korenberg:
**Iterative fast orthogonal search algorithm for MDL-based training of generalized single-layer networks.**789-799

- Chuangyin Dang:
**Approximating a solution of the s-t max-cut problem with a deterministic annealing algorithm.**801-810

- Athanassios A. Argiriou, Ioannis Bellas-Velidis, Constantinos A. Balaras:
**Development of a neural network heating controller for solar buildings.**811-820

- John G. Taylor, Barry Horwitz, Karl J. Friston:
**The global brain: imaging and modelling: Introduction: 2000 Special Issue.**827-

- Barry Horwitz, Karl J. Friston, John G. Taylor:
**Neural modeling and functional brain imaging: an overview.**829-846

- Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy, Hans-W. Müller-Gärtner:
**Imaging and neural modelling in episodic and working memory processes.**847-859

- Anthony Randal McIntosh:
**Towards a network theory of cognition.**861-870

- Christian Büchel, Karl J. Friston:
**Assessing interactions among neuronal systems using functional neuroimaging.**871-882

- Veikko Jousmäki:
**Tracking functions of cortical networks on a millisecond timescale.**883-889

- Ricardo Vigário, Erkki Oja:
**Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?**891-907

- Olaf Sporns, Giulio Tononi, Gerald M. Edelman:
**Connectivity and complexity: the relationship between neuroanatomy and brain dynamics.**909-922

- John G. Taylor, Barry Horwitz, N. J. Shah, Winfried A. Fellenz, Hans-W. Müller-Gärtner, Bernd J. Krause:
**Decomposing memory: functional assignments and brain traffic in paired word associate learning.**923-940

- Malle A. Tagamets, Barry Horwitz:
**A model of working memory: bridging the gap between electrophysiology and human brain imaging.**941-952

- Oury Monchi, John G. Taylor, Alain Dagher:
**A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions.**953-973

- Michael A. Arbib, Aude Billard, Marco Iacoboni, Erhan Oztop:
**Synthetic brain imaging: grasping, mirror neurons and imitation.**975-997

- Stephen Grossberg, Rainer W. Paine:
**A neural model of cortico-cerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements.**999-1046

- Javier Ropero Peláez:
**Towards a neural network based therapy for hallucinatory disorders.**1047-1061

- Shiro Ikeda, Keisuke Toyama:
**Independent component analysis for noisy data -- MEG data analysis.**1063-1074

- Sebastian Albrecht, Jan Busch, Martin Kloppenburg, Florian Metze, Paul Tavan:
**Generalized radial basis function networks for classification and novelty detection: self-organization of optimal Bayesian decision.**1075-1093

- William W. Hsieh:
**Nonlinear canonical correlation analysis by neural networks.**1095-1105

- Zygmunt Hasiewicz:
**Modular neural networks for non-linearity recovering by the Haar approximation.**1107-1133

- Hongtao Lu:
**On stability of nonlinear continuous-time neural networks with delays.**1135-1143

- Vassilis G. Kaburlasos, Vassilios Petridis:
**Fuzzy Lattice Neurocomputing (FLN) models.**1145-1170

- Masumi Ishikawa:
**Rule extraction by successive regularization.**1171-1183