Neural Networks, Volume 12

Volume 12, Number 1, January 1999

• Daniel Bullock, Raoul M. Bongers, Marnix Lankhorst, Peter J. Beek:
  A vector-integration-to-endpoint model for performance of viapoint movements. 1-29
  
• Michele Rucci, Jonathan Wray:
  Binaural cross-correlation and auditory localization in the barn owl: a theoretical study. 31-42
  
• Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor:
  Dynamics of multilayer networks in the vicinity of temporary minima. 43-58
  
• Pierre Chauvet, Gilbert A. Chauvet:
  Purkinje local circuits with delays: mathematical conditions of stability for learning and retrieval. 59-77
  
• Guian Zhou, Jennie Si:
  Subset-based training and pruning of sigmoid neural networks. 79-89
  
• Salvatore Cavalieri, Orazio Mirabella:
  A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks. 91-106
  
• Aleksander Kolcz, Nigel M. Allinson:
  Basis function models of the CMAC network. 107-126
  
• Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann:
  On the performance of neuronal matching algorithms. 127-134
  
• Youry R. Romanovsky, Egor D. Brovko:
  Neural network models in a set selection problem. 135-143
  
• Ning Qian:
  On the momentum term in gradient descent learning algorithms. 145-151
  
• Kazutaka Someya, Hidekazu Shinozaki, Yoshifumi Sekine:
  Pulse-type hardware chaotic neuron model and its bifurcation phenomena. 153-161
  
• Zsolt Kalmár, Zsolt Marczell, Csaba Szepesvári, András Lörincz:
  Parallel and robust skeletonization built on self-organizing elements. 163-173
  
• Gregor P. J. Schmitz, Chris Aldrich:
  Combinatorial evolution of regression nodes in feedforward neural networks. 175-189
  
• Wee Kheng Leow, Rudy Setiono:
  Explanation of the "virtual input" phenomenon. 191-192
  
• Stephen L. Thaler:
  No mystery intended. 193-194
  

Volume 12, Number 2, March 1999

• Richard J. Wood, Eric L. Schwartz:
  Topographic shear and the relation of ocular dominance columns to orientation columns in primate and cat visual cortex. 205-210
  
• Tetsuya Asai, Tomoki Fukai, Shigeru Tanaka:
  A subthreshold MOS circuit for the Lotka-Volterra neural network producing the winners-share-all solution. 211-216
  
• Robert F. Hadley, Vlad C. Cardei:
  Language acquisition from sparse input without error feedback. 217-235
  
• Yves Moreau, Stéphane Louiès, Joos Vandewalle, Léon Brenig:
  Embedding recurrent neural networks into predator-prey models. 237-245
  
• Hideyuki Koyama, Norio Fujie, Hiroyuki Seyama:
  Results from the Gardner-Derrida-Mottishaw theory of associative memory. 247-257
  
• Zhenjiang Miao, Baozong Yuan:
  Analysis and optimal design of continuous neural networks with applications to associative memory. 259-271
  
• Zhi-Hong Guan, Guanrong Chen:
  On delayed impulsive Hopfield neural networks. 273-280
  
• Friedrich T. Sommer, Günther Palm:
  Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. 281-297
  
• Peter M. Williams:
  Matrix logarithm parametrizations for neural network covariance models. 299-308
  
• Ulrich Anders, Olaf Korn:
  Model selection in neural networks. 309-323
  
• Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin:
  ANNSyS: an Analog Neural Network Synthesis System. 325-338
  
• Andrew R. Webb:
  A loss function approach to model selection in nonlinear principal components. 339-345
  
• Masahide Nomura:
  A comfortable brain-interface to video displays. 347-354
  
• R. J. Kuo, P. H. Cohen:
  Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network. 355-370
  
• Stephane Pernot, Claude-Henri Lamarque:
  Application of neural networks to the modelling of some constitutive laws. 371-392
  
• Fa-Long Luo, Rolf Unbehauen:
  Comments on: A unified algorithm for principal and minor components extraction. 393-
  
• Tianping Chen, Shun-ichi Amari:
  Response. 395-
  

Volume 12, Number 3, April 1999

• Martha A. Carter, Mark E. Oxley:
  Evaluating the Vapnik-Chervonenkis dimension of artificial neural networks using the Poincaré polynomial. 403-408
  
• Odelia Schwartz, John G. Harris, José Carlos Príncipe:
  Modeling the precedence effect for speech using the gamma filter. 409-417
  
• Don J. Torrieri:
  The eigenspace separation transform for neural-network classifiers. 419-427
  
• Aapo Hyvärinen, Petteri Pajunen:
  Nonlinear independent component analysis: Existence and uniqueness results. 429-439
  
• Yakov B. Kazanovich, Roman Borisyuk:
  Dynamics of neural networks with a central element. 441-454
  
• V. Sree Hari Rao, Bh. R. M. Phaneendra:
  Global dynamics of bidirectional associative memory neural networks involving transmission delays and dead zones. 455-465
  
• Maxwell B. Stinchcombe:
  Neural network approximation of continuous functionals and continuous functions on compactifications. 467-477
  
• Jay A. Alexander, Michael Mozer:
  Template-based procedures for neural network interpretation. 479-498
  
• Ennio Mingolla, William D. Ross, Stephen Grossberg:
  A neural network for enhancing boundaries and surfaces in synthetic aperture radar images. 499-511
  
• Elder Moreira Hemerly, Cairo L. Nascimento Jr.:
  An NN-based approach for tuning servocontrollers. 513-518
  
• Frank T. Allen, Jason M. Kinser, H. John Caulfield:
  A neural bridge from syntactic to statistical pattern recognition. 519-526
  
• Qiuming Zhu, Yao Cai, Luzheng Liu:
  A global learning algorithm for a RBF network. 527-540
  
• Rod Adams, Kate Butchart, Neil Davey:
  Hierarchical classification with a competitive evolutionary neural tree. 541-551
  
• D. Dollfus, L. Beaufort:
  Fat neural network for recognition of position-normalised objects. 553-560
  

Volume 12, Number 4-5, June 1999

• Osamu Watanabe, Kunihiko Fukushima:
  Stereo algorithm that extracts a depth cue from interocularly unpaired points. 569-578
  
• DeLiang Wang:
  Object selection based on oscillatory correlation. 579-592
  
• Hava T. Siegelmann, Maurice Margenstern:
  Nine switch-affine neurons suffice for Turing universality. 593-600
  
• Arndt Klotz, Kurt Bräuer:
  A small-size neural network for computing with strange attractors. 601-607
  
• Fernanda Botelho:
  Dynamical features simulated by recurrent neural networks. 609-615
  
• Tomás Gedeon:
  Additive neural networks and periodic patterns. 617-626
  
• Thomas Elsken:
  Smaller nets may perform better: special transfer functions. 627-645
  
• M. R. Belli, Massimo Conti, Paolo Crippa, Claudio Turchetti:
  Artificial neural networks as approximators of stochastic processes. 647-658
  
• Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann:
  Neural maps and topographic vector quantization. 659-676
  
• Dirk Husmeier, William D. Penny, Stephen J. Roberts:
  An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. 677-705
  
• Mikko Lehtokangas:
  Modelling with constructive backpropagation. 707-716
  
• Frédéric Maire:
  Rule-extraction by backpropagation of polyhedra. 717-725
  
• Ron Sun, Todd Peterson:
  Multi-agent reinforcement learning: weighting and partitioning. 727-753
  
• Philip M. Long, Apostol Natsev, Jeffrey Scott Vitter:
  Text compression via alphabet re-representation. 755-765
  
• George-Peter K. Economou, Dimitris K. Lymberopoulos, Kostas V. Spiropoulos, P. D. Goumas:
  A new perspective in learning pattern generation for teaching neural networks. 767-775
  

Volume 12, Number 6, July 1999

• Shun-ichi Amari, Si Wu:
  Improving support vector machine classifiers by modifying kernel functions. 783-789
  
• Kunihiko Fukushima:
  Self-organization of shift-invariant receptive fields. 791-801
  
• Marc M. Van Hulle:
  Faithful representations with topographic maps. 803-823
  
• Chun-ying Ho, Hiroaki Kurokawa:
  A learning algorithm for oscillatory cellular neural networks. 825-836
  
• Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis:
  Properties of learning of a Fuzzy ART Variant. 837-850
  
• Gerhard X. Ritter, Juan Luis Díaz-de-León S., Peter Sussner:
  Morphological bidirectional associative memories. 851-867
  
• Amos J. Storkey, Romain Valabrègue:
  The basins of attraction of a new Hopfield learning rule. 869-876
  
• William D. Penny, Stephen J. Roberts:
  Bayesian neural networks for classification: how useful is the evidence framework? 877-892
  
• Cheng-Yuan Liou, Wen-Pin Tai:
  Conformal self-organization for continuity on a feature map. 893-905
  
• Andrew Chi-Sing Leung, Lai-Wan Chan:
  Design of trellis coded vector quantizers using Kohonen maps. 907-914
  
• Dasaratha V. Sridhar, Eric B. Bartlett, Richard C. Seagrave:
  An information theoretic approach for combining neural network process models. 915-926
  
• J. Zhang:
  Inferential estimation of polymer quality using bootstrap aggregated neural networks. 927-938
  

Volume 12, Number 7-8, October 1999

• John G. Taylor:
  Towards the networks of the brain: from brain imaging to consciousness. 943-959
  
• Kenji Doya:
  What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? 961-974
  
• Tomoki Fukai:
  Sequence generation in arbitrary temporal patterns from theta-nested gamma oscillations: a model of the basal ganglia-thalamo-cortical loops. 975-987
  
• Edgar Körner, Marc-Oliver Gewaltig, Ursula Körner, Andreas Richter, Tobias Rodemann:
  A model of computation in neocortical architecture. 989-1005
  
• Shoji Tanaka:
  Architecture and dynamics of the primate prefrontal cortical circuit for spatial working memory. 1007-1020
  
• Shimon Ullman, Sergei Soloviev:
  Computation of pattern invariance in brain-like structures. 1021-1036
  
• Hiroshi Ando, Satoshi Suzuki, Toshifumi Fujita:
  Unsupervised visual learning of three-dimensional objects using a modular network architecture. 1037-1051
  
• Matthew N. Dailey, Garrison W. Cottrell:
  Organization of face and object recognition in modular neural network models. 1053-1074
  
• K. Tsutsumi:
  On redundancy in neural architecture: dynamics of a simple module-based neural network and initial-state independence. 1075-1085
  
• Thomas Bergener, Carsten Bruckhoff, Percy Dahm, Herbert Janßen, Frank Joublin, Rainer Menzner, Axel Steinhage, Werner von Seelen:
  Complex behavior by means of dynamical systems for an anthropomorphic robot. 1087-1099
  
• Horst-Michael Gross, Andrea Heinze, Torsten Seiler, Volker Stephan:
  Generative character of perception: a neural architecture for sensorimotor anticipation. 1101-1129
  
• Jun Tani, Stefano Nolfi:
  Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. 1131-1141
  
• Kazuyuki Samejima, Takashi Omori:
  Adaptive internal state space construction method for reinforcement learning of a real-world agent. 1143-1155
  
• Takashi Omori, Akiko Mochizuki, Kentaro Mizutani, M. Nishizaki:
  Emergence of symbolic behavior from brain like memory with dynamic attention. 1157-1172
  
• Pietro G. Morasso, L. Baratto, Roberto Capra, Gino Spada:
  Internal models in the control of posture. 1173-1180
  
• Yutaka Sakai, Shintaro Funahashi, Shigeru Shinomoto:
  Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons. 1181-1190
  
• Anthony Robins, Simon McCallum:
  The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. 1191-1206
  

Volume 12, Number 9, November 1999

• Jinwen Ma:
  The asymptotic memory capacity of the generalized Hopfield network. 1207-1212
  
• Arnaud Tonnelier, S. Meignen, Holger Bosch, Jacques Demongeot:
  Synchronization and desynchronization of neural oscillators. 1213-1228
  
• Ke Chen, Lei Xu, Huisheng Chi:
  Improved learning algorithms for mixture of experts in multiclass classification. 1229-1252
  
• Wenxin Jiang, Martin A. Tanner:
  On the identifiability of mixtures-of-experts. 1253-1258
  
• Marilyn Lougher Vaughn:
  Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery. 1259-1271
  
• Necati Aras, B. John Oommen, I. Kuban Altinel:
  The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem. 1273-1284
  
• Sagar V. Kamarthi, Stefan Pittner:
  Accelerating neural network training using weight extrapolations. 1285-1299
  
• Jaesoo Kim, Nikola K. Kasabov:
  HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. 1301-1319
  
• Myron E. Hohil, Derong Liu, Stanley H. Smith:
  Solving the N-bit parity problem using neural networks. 1321-1323
  
• Markus Lappe, Antje Grigo:
  How stereovision interacts with optic flow perception: neural mechanisms. 1325-1329
  

Volume 12, Number 10, December 1999

• Danilo P. Mandic, Jonathon A. Chambers:
  Exploiting inherent relationships in RNN architectures. 1341-1345
  
• Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii:
  A self-supervised learning system for pattern recognition by sensory integration. 1347-1358
  
• Kuniharu Arai, Sanjoy Das, Edward L. Keller, Eitaro Aiyoshi:
  A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback. 1359-1375
  
• Bruno Crespi:
  Storage capacity of non-monotonic neurons. 1377-1389
  
• Pei Ling Lai, Colin Fyfe:
  A neural implementation of canonical correlation analysis. 1391-1397
  
• Yong Liu, Xin Yao:
  Ensemble learning via negative correlation. 1399-1404
  
• Dirk Ormoneit:
  A regularization approach to continuous learning with an application to financial derivatives pricing. 1405-1412
  
• Giorgio Metta, Giulio Sandini, Jurgen Konczak:
  A developmental approach to visually-guided reaching in artificial systems. 1413-1427
  
• Rajat K. De, Jayanta Basak, Sankar K. Pal:
  Neuro-fuzzy feature evaluation with theoretical analysis. 1429-1455
  

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