Neural Networks, Volume 13

Volume 13, Number 1, January 2000

• 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
  

Volume 13, Number 2, March 2000

• 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
  

Volume 13, Number 3, April 2000

• 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
  
• Amitava 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
  

Volume 13, Number 4-5, June 2000

• 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
  
• 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

• 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, 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
  
• 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
  

Volume 13, Number 7, September 2000

• 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
  

Volume 13, Number 8-9, November 2000

• 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. 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

• 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
  

Last update Thu May 23 19:19:54 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page