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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 - Gisbert Schneider
Neural networks are useful tools for drug design. 15-16 - Sarunas Raudys:
How good are support vector machines? 17-19 - Cristiane Salum
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
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
Training neural networks to be insensitive to weight random variations. 125-132
Volume 13, Number 2, March 2000
- Simon X. Yang
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
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
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 Martín-Valdivia
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
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
Mutual information of sparsely coded associative memory with self-control and ternary neurons. 455-462 - Isabelle Rivals
Construction of confidence intervals for neural networks based on least squares estimation. 463-484 - Emad Gad
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 - Mehmed Özkan
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
Neural networks with a continuous squashing function in the output are universal approximators. 561-563 - Thomas Sams
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
Blind source separation in the presence of weak sources. 589-596 - Simone G. O. 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
Dynamic topology representing networks. 617-627 - Herbert K. H. Lee:
Consistency of posterior distributions for neural networks. 629-642 - Eugene Lavretsky:
On the exact solution of the Parity-N problem using ordered neural networks. 643-649 - Anna Esposito
Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm. 651-665 - Ken-ichi Arai
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
Best approximation by Heaviside perceptron networks. 695-697 - Murat Okatan
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
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
Neural modeling and functional brain imaging: an overview. 829-846 - Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy
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
Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? 891-907 - Olaf Sporns
Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. 909-922 - John G. Taylor, Barry Horwitz, N. Jon Shah
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 Öztop
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
Independent component analysis for noisy data -- MEG data analysis. 1063-1074 - Sebastian Albrecht, Jan Busch, Martin Kloppenburg, Florian Metze
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
Fuzzy Lattice Neurocomputing (FLN) models. 1145-1170 - Masumi Ishikawa:
Rule extraction by successive regularization. 1171-1183
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