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
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- Michele Rucci, Jonathan Wray:
Binaural cross-correlation and auditory localization in the barn owl: a theoretical study.
31-42
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- Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor:
Dynamics of multilayer networks in the vicinity of temporary minima.
43-58
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- Pierre Chauvet, Gilbert A. Chauvet:
Purkinje local circuits with delays: mathematical conditions of stability for learning and retrieval.
59-77
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- Guian Zhou, Jennie Si:
Subset-based training and pruning of sigmoid neural networks.
79-89
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- Salvatore Cavalieri, Orazio Mirabella:
A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks.
91-106
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- Aleksander Kolcz, Nigel M. Allinson:
Basis function models of the CMAC network.
107-126
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- Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann:
On the performance of neuronal matching algorithms.
127-134
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- Youry R. Romanovsky, Egor D. Brovko:
Neural network models in a set selection problem.
135-143
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- Ning Qian:
On the momentum term in gradient descent learning algorithms.
145-151
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- Kazutaka Someya, Hidekazu Shinozaki, Yoshifumi Sekine:
Pulse-type hardware chaotic neuron model and its bifurcation phenomena.
153-161
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- Zsolt Kalmár, Zsolt Marczell, Csaba Szepesvári, András Lörincz:
Parallel and robust skeletonization built on self-organizing elements.
163-173
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- Gregor P. J. Schmitz, Chris Aldrich:
Combinatorial evolution of regression nodes in feedforward neural networks.
175-189
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- Wee Kheng Leow, Rudy Setiono:
Explanation of the "virtual input" phenomenon.
191-192
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- Stephen L. Thaler:
No mystery intended.
193-194
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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
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- Tetsuya Asai, Tomoki Fukai, Shigeru Tanaka:
A subthreshold MOS circuit for the Lotka-Volterra neural network producing the winners-share-all solution.
211-216
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- Robert F. Hadley, Vlad C. Cardei:
Language acquisition from sparse input without error feedback.
217-235
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- Yves Moreau, Stéphane Louiès, Joos Vandewalle, Léon Brenig:
Embedding recurrent neural networks into predator-prey models.
237-245
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- Hideyuki Koyama, Norio Fujie, Hiroyuki Seyama:
Results from the Gardner-Derrida-Mottishaw theory of associative memory.
247-257
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- Zhenjiang Miao, Baozong Yuan:
Analysis and optimal design of continuous neural networks with applications to associative memory.
259-271
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- Zhi-Hong Guan, Guanrong Chen:
On delayed impulsive Hopfield neural networks.
273-280
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- Friedrich T. Sommer, Günther Palm:
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning.
281-297
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- Peter M. Williams:
Matrix logarithm parametrizations for neural network covariance models.
299-308
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- Ulrich Anders, Olaf Korn:
Model selection in neural networks.
309-323
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- Ismet Bayraktaroglu, Arif Selçuk Ögrenci, Günhan Dündar, Sina Balkir, Ethem Alpaydin:
ANNSyS: an Analog Neural Network Synthesis System.
325-338
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- Andrew R. Webb:
A loss function approach to model selection in nonlinear principal components.
339-345
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- Masahide Nomura:
A comfortable brain-interface to video displays.
347-354
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- 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
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- Stephane Pernot, Claude-Henri Lamarque:
Application of neural networks to the modelling of some constitutive laws.
371-392
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- Fa-Long Luo, Rolf Unbehauen:
Comments on: A unified algorithm for principal and minor components extraction.
393-
Electronic Edition (link) BibTeX
- Tianping Chen, Shun-ichi Amari:
Response.
395-
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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
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- Odelia Schwartz, John G. Harris, José Carlos Príncipe:
Modeling the precedence effect for speech using the gamma filter.
409-417
Electronic Edition (link) BibTeX
- Don J. Torrieri:
The eigenspace separation transform for neural-network classifiers.
419-427
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- Aapo Hyvärinen, Petteri Pajunen:
Nonlinear independent component analysis: Existence and uniqueness results.
429-439
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- Yakov B. Kazanovich, Roman Borisyuk:
Dynamics of neural networks with a central element.
441-454
Electronic Edition (link) BibTeX
- V. Sree Hari Rao, Bh. R. M. Phaneendra:
Global dynamics of bidirectional associative memory neural networks involving transmission delays and dead zones.
455-465
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- Maxwell B. Stinchcombe:
Neural network approximation of continuous functionals and continuous functions on compactifications.
467-477
Electronic Edition (link) BibTeX
- Jay A. Alexander, Michael Mozer:
Template-based procedures for neural network interpretation.
479-498
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- Ennio Mingolla, William D. Ross, Stephen Grossberg:
A neural network for enhancing boundaries and surfaces in synthetic aperture radar images.
499-511
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- Elder Moreira Hemerly, Cairo L. Nascimento Jr.:
An NN-based approach for tuning servocontrollers.
513-518
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- Frank T. Allen, Jason M. Kinser, H. John Caulfield:
A neural bridge from syntactic to statistical pattern recognition.
519-526
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- Qiuming Zhu, Yao Cai, Luzheng Liu:
A global learning algorithm for a RBF network.
527-540
Electronic Edition (link) BibTeX
- Rod Adams, Kate Butchart, Neil Davey:
Hierarchical classification with a competitive evolutionary neural tree.
541-551
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- D. Dollfus, L. Beaufort:
Fat neural network for recognition of position-normalised objects.
553-560
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Volume 12,
Number 4-5,
June 1999
- Osamu Watanabe, Kunihiko Fukushima:
Stereo algorithm that extracts a depth cue from interocularly unpaired points.
569-578
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- DeLiang Wang:
Object selection based on oscillatory correlation.
579-592
Electronic Edition (link) BibTeX
- Hava T. Siegelmann, Maurice Margenstern:
Nine switch-affine neurons suffice for Turing universality.
593-600
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- Arndt Klotz, Kurt Bräuer:
A small-size neural network for computing with strange attractors.
601-607
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- Fernada Botelho:
Dynamical features simulated by recurrent neural networks.
609-615
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- Tomás Gedeon:
Additive neural networks and periodic patterns.
617-626
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- Thomas Elsken:
Smaller nets may perform better: special transfer functions.
627-645
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- M. R. Belli, Massimo Conti, Paolo Crippa, Claudio Turchetti:
Artificial neural networks as approximators of stochastic processes.
647-658
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- Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann:
Neural maps and topographic vector quantization.
659-676
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- 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
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- Mikko Lehtokangas:
Modelling with constructive backpropagation.
707-716
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- Frédéric Maire:
Rule-extraction by backpropagation of polyhedra.
717-725
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- Ron Sun, Todd Peterson:
Multi-agent reinforcement learning: weighting and partitioning.
727-753
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- Philip M. Long, Apostol Natsev, Jeffrey Scott Vitter:
Text compression via alphabet re-representation.
755-765
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- George-Peter K. Economou, Dimitris K. Lymberopoulos, K. Spiropoulos, P. D. Goumas:
A new perspective in learning pattern generation for teaching neural networks.
767-775
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Volume 12,
Number 6,
July 1999
- Shun-ichi Amari, Si Wu:
Improving support vector machine classifiers by modifying kernel functions.
783-789
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- Kunihiko Fukushima:
Self-organization of shift-invariant receptive fields.
791-801
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- Marc M. Van Hulle:
Faithful representations with topographic maps.
803-823
Electronic Edition (link) BibTeX
- Chun-ying Ho, Hiroaki Kurokawa:
A learning algorithm for oscillatory cellular neural networks.
825-836
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- Michael Georgiopoulos, Issam Dagher, Gregory L. Heileman, George Bebis:
Properties of learning of a Fuzzy ART Variant.
837-850
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- Gerhard X. Ritter, Juan Luis Díaz-de-León S., Peter Sussner:
Morphological bidirectional associative memories.
851-867
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- Amos J. Storkey, Romain Valabregue:
The basins of attraction of a new Hopfield learning rule.
869-876
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- William D. Penny, Stephen J. Roberts:
Bayesian neural networks for classification: how useful is the evidence framework?
877-892
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- Cheng-Yuan Liou, Wen-Pin Tai:
Conformal self-organization for continuity on a feature map.
893-905
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- Andrew Chi-Sing Leung, Lai-Wan Chan:
Design of trellis coded vector quantizers using Kohonen maps.
907-914
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- Dasaratha V. Sridhar, Eric B. Bartlett, Richard C. Seagrave:
An information theoretic approach for combining neural network process models.
915-926
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- J. Zhang:
Inferential estimation of polymer quality using bootstrap aggregated neural networks.
927-938
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Volume 12,
Number 7-8,
October 1999
- John G. Taylor:
Towards the networks of the brain: from brain imaging to consciousness.
943-959
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- Kenji Doya:
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
961-974
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- Tomoki Fukai:
Sequence generation in arbitrary temporal patterns from theta-nested gamma oscillations: a model of the basal ganglia-thalamo-cortical loops.
975-987
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- Edgar Körner, Marc-Oliver Gewaltig, Ursula Körner, Andreas Richter, Tobias Rodemann:
A model of computation in neocortical architecture.
989-1005
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- Shoji Tanaka:
Architecture and dynamics of the primate prefrontal cortical circuit for spatial working memory.
1007-1020
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- Shimon Ullman, Sergei Soloviev:
Computation of pattern invariance in brain-like structures.
1021-1036
Electronic Edition (link) BibTeX
- Hiroshi Ando, Satoshi Suzuki, Toshifumi Fujita:
Unsupervised visual learning of three-dimensional objects using a modular network architecture.
1037-1051
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- Matthew N. Dailey, Garrison W. Cottrell:
Organization of face and object recognition in modular neural network models.
1053-1074
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- K. Tsutsumi:
On redundancy in neural architecture: dynamics of a simple module-based neural network and initial-state independence.
1075-1085
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- 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
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- Horst-Michael Gross, Andrea Heinze, Torsten Seiler, Volker Stephan:
Generative character of perception: a neural architecture for sensorimotor anticipation.
1101-1129
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- Jun Tani, Stefano Nolfi:
Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems.
1131-1141
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- Kazuyuki Samejima, Takashi Omori:
Adaptive internal state space construction method for reinforcement learning of a real-world agent.
1143-1155
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- Takashi Omori, Akiko Mochizuki, Kentaro Mizutani, M. Nishizaki:
Emergence of symbolic behavior from brain like memory with dynamic attention.
1157-1172
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- Pietro G. Morasso, L. Baratto, Roberto Capra, Gino Spada:
Internal models in the control of posture.
1173-1180
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- Yutaka Sakai, Shintaro Funahashi, Shigeru Shinomoto:
Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons.
1181-1190
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- Anthony Robins, Simon McCallum:
The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts.
1191-1206
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Volume 12,
Number 9,
November 1999
- Jinwen Ma:
The asymptotic memory capacity of the generalized Hopfield network.
1207-1212
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- Arnaud Tonnelier, S. Meignen, Holger Bosch, Jacques Demongeot:
Synchronization and desynchronization of neural oscillators.
1213-1228
Electronic Edition (link) BibTeX
- Ke Chen, Lei Xu, Huishen Chi:
Improved learning algorithms for mixture of experts in multiclass classification.
1229-1252
Electronic Edition (link) BibTeX
- Wenxin Jiang, Martin A. Tanner:
On the identifiability of mixtures-of-experts.
1253-1258
Electronic Edition (link) BibTeX
- Marilyn Lougher Vaughn:
Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery.
1259-1271
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- Necati Aras, B. John Oommen, I. Kuban Altinel:
The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem.
1273-1284
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- Sagar V. Kamarthi, Stefan Pittner:
Accelerating neural network training using weight extrapolations.
1285-1299
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- Jaesoo Kim, Nikola K. Kasabov:
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.
1301-1319
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- Myron E. Hohil, Derong Liu, Stanley H. Smith:
Solving the N-bit parity problem using neural networks.
1321-1323
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- Markus Lappe, Antje Grigo:
How stereovision interacts with optic flow perception: neural mechanisms.
1325-1329
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Volume 12,
Number 10,
December 1999
- Danilo P. Mandic, Jonathon A. Chambers:
Exploiting inherent relationships in RNN architectures.
1341-1345
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- Koichiro Yamauchi, Mikiya Oota, Naohiro Ishii:
A self-supervised learning system for pattern recognition by sensory integration.
1347-1358
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- 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
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- Bruno Crespi:
Storage capacity of non-monotonic neurons.
1377-1389
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- Pei Ling Lai, Colin Fyfe:
A neural implementation of canonical correlation analysis.
1391-1397
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- Yong Liu, Xin Yao:
Ensemble learning via negative correlation.
1399-1404
Electronic Edition (link) BibTeX
- Dirk Ormoneit:
A regularization approach to continuous learning with an application to financial derivatives pricing.
1405-1412
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- Giorgio Metta, Giulio Sandini, Jurgen Konczak:
A developmental approach to visually-guided reaching in artificial systems.
1413-1427
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- Rajat K. De, Jayanta Basak, Sankar K. Pal:
Neuro-fuzzy feature evaluation with theoretical analysis.
1429-1455
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Copyright © Sun May 17 00:15:37 2009
by Michael Ley (ley@uni-trier.de)
