Volume 13, Number 1, January 2000

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  Konrad P. Körding, Peter König: A learning rule for dynamic recruitment and decorrelation. 1-9
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  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
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  Cristiane Salum, Silvio Morato, Antônio C. Roque-da-Silva: Anxiety-like behavior in rats: a computational model. 21-29
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  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
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  Massimo Conti, Simone Orcioni, Claudio Turchetti: Training neural networks to be insensitive to weight random variations. 125-132

Volume 13, Number 2, March 2000

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  Simon X. Yang, Max Q.-H. Meng: An efficient neural network approach to dynamic robot motion planning. 143-148
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  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
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  Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin: Universal learning network and its application to chaos control. 239-253
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  Konstantinos Alataris, Theodore W. Berger, Vasilis Z. Marmarelis: A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs. 255-266

Volume 13, Number 3, April 2000

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  Junji Ito, Kunihiko Kaneko: Self-organized hierarchical structure in a plastic network of chaotic units. 275-281
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  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
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  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
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  Amitava Datta, Sankar K. Pal, Nikhil R. Pal: A connectionist model for convex-hull of a planar set. 377-384
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  Shouling He, Konrad Reif, Rolf Unbehauen: Multilayer neural networks for solving a class of partial differential equations. 385-396

Volume 13, Number 4-5, June 2000

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

Volume 13, Number 6, July 2000

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  Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez: Neural networks with a continuous squashing function in the output are universal approximators. 561-563
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  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, Filipe 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
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  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
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  J. F. Gomez-Molina: Ionic current and metabolism for brain scanners (a three state-model of modular activation). 689-690

Volume 13, Number 7, September 2000

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  Paul C. Kainen, Vera Kurková, Andrew Vogt: Best approximation by Heaviside perceptron networks. 695-697
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  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
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  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
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  Athanassios A. Argiriou, Ioannis Bellas-Velidis, Constantinos A. Balaras: Development of a neural network heating controller for solar buildings. 811-820

Volume 13, Number 8-9, November 2000

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  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
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  Olaf Sporns, Giulio Tononi, Gerald M. Edelman: Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. 909-922
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  John G. Taylor, Barry Horwitz, N. Jon 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

Volume 13, Number 10, December 2000

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

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