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    Journal: Neural Networks

    Volume 13, Issue 8-9

    827 -- 0John G. Taylor, Barry Horwitz, Karl J. Friston. The global brain: imaging and modelling: Introduction: 2000 Special Issue
    829 -- 846Barry Horwitz, Karl J. Friston, John G. Taylor. Neural modeling and functional brain imaging: an overview
    847 -- 859Bernd 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
    861 -- 870Anthony Randal McIntosh. Towards a network theory of cognition
    871 -- 882Christian Büchel, Karl J. Friston. Assessing interactions among neuronal systems using functional neuroimaging
    883 -- 889Veikko Jousmäki. Tracking functions of cortical networks on a millisecond timescale
    891 -- 907Ricardo Vigário, Erkki Oja. Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?
    909 -- 922Olaf Sporns, Giulio Tononi, Gerald M. Edelman. Connectivity and complexity: the relationship between neuroanatomy and brain dynamics
    923 -- 940John 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
    941 -- 952Malle A. Tagamets, Barry Horwitz. A model of working memory: bridging the gap between electrophysiology and human brain imaging
    953 -- 973Oury 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
    975 -- 997Michael A. Arbib, Aude Billard, Marco Iacoboni, Erhan Oztop. Synthetic brain imaging: grasping, mirror neurons and imitation
    999 -- 1046Stephen Grossberg, Rainer W. Paine. A neural model of cortico-cerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements
    1047 -- 1061Javier Ropero Peláez. Towards a neural network based therapy for hallucinatory disorders

    Volume 13, Issue 7

    695 -- 697Paul C. Kainen, Vera Kurková, Andrew Vogt. Best approximation by Heaviside perceptron networks
    699 -- 708Murat Okatan, Stephen Grossberg. Frequency-dependent synaptic potentiation, depression and spike timing induced by Hebbian pairing in cortical pyramidal neurons
    709 -- 718Shouji Sakamoto, Youichi Kobuchi. Convergence property of topographic mapping formation from cell layer to cell layer through correlation learning rule
    719 -- 729Maria Marinaro, Silvia Scarpetta. On-line learning in RBF neural networks: a stochastic approach
    731 -- 744Terence Kwok, Kate A. Smith. Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework
    745 -- 753Jiye Zhang, Xuesong Jin. Global stability analysis in delayed Hopfield neural network models
    755 -- 764Hyeyoung Park, Shun-ichi Amari, Kenji Fukumizu. Adaptive natural gradient learning algorithms for various stochastic models
    765 -- 786Alexander G. Parlos, Omar T. Rais, Amir F. Atiya. Multi-step-ahead prediction using dynamic recurrent neural networks
    789 -- 799Katheryn Margaret Adeney, Michael J. Korenberg. Iterative fast orthogonal search algorithm for MDL-based training of generalized single-layer networks
    801 -- 810Chuangyin Dang. Approximating a solution of the s-t max-cut problem with a deterministic annealing algorithm
    811 -- 820Athanassios A. Argiriou, Ioannis Bellas-Velidis, Constantinos A. Balaras. Development of a neural network heating controller for solar buildings

    Volume 13, Issue 6

    561 -- 563Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez. Neural networks with a continuous squashing function in the output are universal approximators
    565 -- 570Thomas Sams, Jonas Lundbek Hansen. Implications of physical symmetries in adaptive image classifiers
    571 -- 588William D. Ross, Stephen Grossberg, Ennio Mingolla. Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps
    589 -- 596Jean-Pierre Nadal, Elka Korutcheva, F. Aires. Blind source separation in the presence of weak sources
    597 -- 611Simone Fiori. Blind signal processing by the adaptive activation function neurons
    613 -- 616Mark P. Joy. Results concerning the absolute stability of delayed neural networks
    617 -- 627Jennie Si, Siming Lin, M.-A. Vuong. Dynamic topology representing networks
    629 -- 642Herbert K. H. Lee. Consistency of posterior distributions for neural networks
    643 -- 649E. Lavretsky. On the exact solution of the Parity-N problem using ordered neural networks
    651 -- 665Anna Esposito, Maria Marinaro, Domenico Oricchio, Silvia Scarpetta. Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm
    667 -- 680Ken-ichi Arai, Ryohei Nakano. Stable behavior in a recurrent neural network for a finite state machine
    681 -- 688Ha-Jin Yu, Yung-Hwan Oh. A neural network for 500 word vocabulary word spotting using non-uniform units

    Volume 13, Issue 4-5

    407 -- 410Paulo J. G. Lisboa, Alfredo Vellido, H. Wong. Bias reduction in skewed binary classification with Bayesian neural networks
    411 -- 430Aapo Hyvärinen, Erkki Oja. Independent component analysis: algorithms and applications
    431 -- 443Dario Floreano, Joseba Urzelai. Evolutionary robots with on-line self-organization and behavioral fitness
    445 -- 454Tatsuo Kitajima, Ken-ichi Hara. A generalized Hebbian rule for activity-dependent synaptic modifications
    455 -- 462Desire Bollé, David Renato C. Dominguez-Carreta, Shun-ichi Amari. Mutual information of sparsely coded associative memory with self-control and ternary neurons
    463 -- 484Isabelle Rivals, Léon Personnaz. Construction of confidence intervals for neural networks based on least squares estimation
    485 -- 505Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman El-Dessouki. A new algorithm for learning in piecewise-linear neural networks
    507 -- 523Sarunas Raudys. Evolution and generalization of a single neurone. III. Primitive, regularized, standard, robust and minimax regressions
    525 -- 531Mikko Lehtokangas. Determining the number of centroids for CMLP network
    533 -- 544M. Ozkan, K. Inoue, K. Negishi, T. Yamanaka. Defining a neural network controller structure for a rubbertuator robot
    545 -- 553Zheng-ou Wang, Tao Zhu. An efficient learning algorithm for improving generalization performance of radial basis function neural networks

    Volume 13, Issue 3

    275 -- 281Junji Ito, Kunihiko Kaneko. Self-organized hierarchical structure in a plastic network of chaotic units
    283 -- 285Maite Teresa Martín-Valdivia, Amparo Ruiz-Sepúlveda, F. Ruiz-Sepúlvedaz. Improving local minima of Hopfield networks with augmented Lagrange multipliers for large scale TSPs
    287 -- 290Dirk Husmeier. Learning non-stationary conditional probability distributions
    291 -- 303Gert J. van Tonder, Yoshimichi Ejima. The patchwork engine: image segmentation from shape symmetries
    305 -- 315Simon M. Stringer, Edmund T. Rolls. Position invariant recognition in the visual system with cluttered environments
    317 -- 327Kenji Fukumizu, Shun-ichi Amari. Local minima and plateaus in hierarchical structures of multilayer perceptrons
    329 -- 335Martijn A. R. Leisink, Hilbert J. Kappen. Learning in higher order Boltzmann machines using linear response
    337 -- 350Youshen Xia, Jun Wang. A recurrent neural network for solving linear projection equations
    351 -- 364Stavros J. Perantonis, Vassilis Virvilis. Efficient perceptron learning using constrained steepest descent
    365 -- 375Mark A. Kon, Leszek Plaskota. Information complexity of neural networks
    377 -- 384A. K. Datta, Sankar K. Pal, Nikhil R. Pal. A connectionist model for convex-hull of a planar set
    385 -- 396Shouling He, Konrad Reif, Rolf Unbehauen. Multilayer neural networks for solving a class of partial differential equations

    Volume 13, Issue 2

    143 -- 148Simon X. Yang, Max Q.-H. Meng. An efficient neural network approach to dynamic robot motion planning
    149 -- 183Nilendu G. Jani, Daniel S. Levine. A neural network theory of proportional analogy-making
    185 -- 199Ronen Segev, Eshel Ben-Jacob. Generic modeling of chemotactic based self-wiring of neural networks
    201 -- 224Neill R. Taylor, John G. Taylor. Hard-wired models of working memory and temporal sequence storage and generation
    225 -- 237Martin C. M. Elliffe, Edmund T. Rolls, Néstor Parga, Alfonso Renart. A recurrent model of transformation invariance by association
    239 -- 253Kotaro Hirasawa, Xiaofeng Wang, Junichi Murata, Jinglu Hu, Chunzhi Jin. Universal learning network and its application to chaos control
    255 -- 266Konstantinos Alataris, Theodore W. Berger, Vasilis Z. Marmarelis. A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs

    Volume 13, Issue 10

    1063 -- 1074. Independent component analysis for noisy data -- MEG data analysis
    1075 -- 1093Sebastian 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
    1095 -- 1105William W. Hsieh. Nonlinear canonical correlation analysis by neural networks
    1107 -- 1133Zygmunt Hasiewicz. Modular neural networks for non-linearity recovering by the Haar approximation
    1135 -- 1143Hongtao Lu. On stability of nonlinear continuous-time neural networks with delays
    1145 -- 1170Vassilis G. Kaburlasos, Vassilios Petridis. Fuzzy Lattice Neurocomputing (FLN) models
    1171 -- 1183Masumi Ishikawa. Rule extraction by successive regularization

    Volume 13, Issue 1

    1 -- 9Konrad P. Körding, Peter König. A learning rule for dynamic recruitment and decorrelation
    11 -- 13Walter J. Freeman. A proposed name for aperiodic brain activity: stochastic chaos
    15 -- 16G. Schneider. Neural networks are useful tools for drug design
    17 -- 19Sarunas Raudys. How good are support vector machines?
    21 -- 29Cristiane Salum, Silvio Morato, Antônio C. Roque-da-Silva. Anxiety-like behavior in rats: a computational model
    31 -- 40Jousuke Kuroiwa, Sakari Inawashiro, Shogo Miyake, Hirotomo Aso. Self-organization of orientation maps in a formal neuron model using a cluster learning rule
    41 -- 50Makoto Hirahara, Natsuki Oka, Toshiki Kindo. A cascade associative memory model with a hierarchical memory structure
    51 -- 61Makoto Hirahara, Natsuki Oka, Toshiki Kindo. Cascade associative memory storing hierarchically correlated patterns with various correlations
    63 -- 69Zhi-Hong Guan, James Lam, Guanrong Chen. On impulsive autoassociative neural networks
    71 -- 89Carlos Lourenço, Agnessa Babloyantz, Marc Hougardy. Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing
    91 -- 110Richard 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
    111 -- 124M. S. Ahmed. Neural net based MRAC for a class of nonlinear plants
    125 -- 132Massimo Conti, Simone Orcioni, Claudio Turchetti. Training neural networks to be insensitive to weight random variations
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