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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