Table of Contents

• Application of Artificial Neural Networks in Particle PhysicsHermann Kolanoski. 1-14
• Evolutionary Computation - History, Status, and PerspectivesHans-Paul Schwefel. 15
• Temporal Structure of Cortical ActivityMoshe Abeles, Y. Prut. 16
• SEE-1 - A Vision System for Use in Real World EnvironmentsUlrich Ramacher. 17
• Towards Integration of Nerve Cells and Silicon DevicesP. Fromherz. 18
• Unifying Perspectives on Neuronal Codes and ProcessingC. H. Anderson. 19
• Visual Recognition Based on Coding in Temporal Cortex: Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental RotationDavid I. Perrett. 20
• A Novel Encoding Strategy for Associative MemoryHan-Bing Ji, Kwong-Sak Leung, Yee Leung. 21-27
• Autoassociative Memory with high Storage CapacityPaulo J. L. Adeodato, John G. Taylor. 29-34
• Information Efficiency of the Associative Net at Arbitrary Coding RatesBruce Graham, David J. Willshaw. 35-40
• Efficient Learning in Sparsely Connected Boltzmann MachinesMarcel J. Nijman, Hilbert J. Kappen. 41-46
• Incorporating Invariances in Support Vector Learning MachinesBernhard Schölkopf, Chris Burges, Vladimir Vapnik. 47-52
• Estimating the Reliability of Neural Network ClassificationsAarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin. 53-58
• Bayesian Inference of Noise Levels in RegressionChristopher M. Bishop, Cazhaow S. Quazaz. 59-64
• Complexity Reduction in Probabilistic Neural NetworksAri Hämäläinen, Lasse Holmström. 65-70
• Asymptotic Complexity of an RBF NN for Correlated Data RepresentationLucia Sardo, Josef Kittler. 71-76
• Regularization by Early Stopping in Single Layer Perceptron TrainingSarunas Raudys, Tautvydas Cibas. 77-82
• Clustering in Weight Space of Feedforward NetsStefan M. Rüger, Arnfried Ossen. 83-88
• Learning Curves of On-line and Off-line TrainingSiegfried Bös. 89-94
• Learning Structure with Many-Take-All NetworksDavid M. J. Tax, Hilbert J. Kappen. 95-100
• Dynamic Feature Linking in Stochastic Networks with Short Range InteractionsHilbert J. Kappen, Pablo Varona. 101-106
• Collective Dynamics of a System of Adaptive Velocity ChannelsUlrich Hillenbrand, J. Leo van Hemmen. 107-114
• Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic SystemsOliver Nelles. 115-120
• Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate MethodGustavo Deco, Bernd Schürmann. 121-126
• Prediction of MixturesKlaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen. 127-132
• Learning Dynamical Systems Produced by Recurrent Neural NetworksMasahiro Kimura, Ryohei Nakano. 133-138
• Purely Logical Neural Principal Component and Independent Component LearningAapo Hyvärinen. 139-144
• How Fast can Neuronal Algorithms Match PatternsRolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann. 145-150
• An Annealed Neural Gas Network for Robust Vector QuantizationThomas Hofmann, Joachim M. Buhmann. 151-156
• Associative Completion and Investment Learning Using PSOMsJörg A. Walter, Helge Ritter. 157-164
• GTM: A Principled Alternative to the Self-Organizing MapChristopher M. Bishop, Markus Svensén, Christopher K. I. Williams. 165-170
• Creating Term Associations Using a Hierarchical ART ArchitectureAlberto Muñoz. 171-177
• Architecture Selection through Statistical Sensitivity AnalysisThomas Czernichow. 179-184
• Regression by Topological Map: Application on Real DataP. Daigremont, H. de Lassus, Fouad Badran, Sylvie Thiria. 185-190
• Signal Processing by Neural Networks to Create Virtual Sensors and Model-Based DiagnosticsKenneth A. Marko, John V. James, Timothy M. Feldkamp, Gintaras V. Puskorius, Lee A. Feldkamp. 191-196
• Development of an Advisory System Based on a Neural Network for the Operation of a Coal Fired Power PlantR. M. L. Frenken, C. M. Rozendaal, H. E. Dijk, P. C. Knöster. 197-202
• Blast Furnace Analysis with Neural NetworksJoachim Angstenberger. 203-208
• Diagnosis Tools for Telecommunication Network Traffic ManagementPhilippe Leray, Patrick Gallinari, Elisabeth Didelet. 209-214
• Adaptive Saccade Control of a Binocular Head with Dynamic Cell StructuresJörg Bruske, Michael Hansen, Lars Riehn, Gerald Sommer. 215-220
• Learing Fine Motion by Using the Hierarchical Extended Kohonen MapCristina Versino, Luca Maria Gambardella. 221-226
• Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit ClassificationJorma Laaksonen, Erkki Oja. 227-232
• A Dual Route Neural Net Approach to Grapheme-to-Phoneme ConversionMaria Wolters. 233-238
• Separating EEG Spike-Clusters in Epilepsy by a Growing and Splitting NetMatthias Dümpelmann, Christian Erich Elger. 239-244
• Optimal Texture Feature Selection for the Co-Occurrence MapKimmo Valkealahti, Erkki Oja. 245-250
• Comparison of View-Based Object Recognition Algorithms Using Realistic 3D ModelsVolker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter. 251-256
• A Hierarchical Learning Rule for Independent Component AnalysisBernd Freisleben, Claudia Hagen. 252-530
• Color-Calibration of Robot Vision System Using Self-Organizing Feature MapsHubert Austermeier, Georg Hartmann, Ralf Hilker. 257-262
• Neural Network Model for Maximum Ozone Concentration PredictionGonzalo Acuña, Héctor Jorquera, Ricardo Pérez. 263-268
• Very Large Two-Level SOM for the Browsing of NewsgroupsTeuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela. 269-274
• Automatic Part-of-Speech Tagging of Thai Corpus Using Neural NetworksQing Ma, Hitoshi Isahara, Hiromi Ozaku. 275-280
• Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural NetworkGavin C. Cawley, Stephen R. Dorling. 281-286
• Two Gradient Descent Algorithms for Blind Signal SeparationHoward Hua Yang, Shun-ichi Amari. 287-292
• Classification Rejection by PredictionH. de Lassus, P. Daigremont, Fouad Badran, Sylvie Thiria, A. Lecacheux. 293-298
• Application of Radial Basis Function Neural Networks to Odour Sensing Using a Broad Specifity Array of Conducting PolymersDong-hyun Lee, John S. Payne, Hyung-Gi Byun, Krishna C. Persaud. 299-304
• A Hybrid Object Recognition ArchitectureGunther Heidemann, Franz Kummert, Helge Ritter, Gerhard Sagerer. 305-310
• Robot Learning in Analog Neural HardwareAndreas Bühlmeier, Gerhard Manteuffel, Markus L. Rossmann, Karl Goser. 311-316
• Visual Gesture Recognition by a Modular Neural SystemEnno Littmann, Andrea Drees, Helge Ritter. 317-322
• Tracking and Learning Graphs on Image Sequences of FacesThomas Maurer, Christoph von der Malsburg. 323-328
• Neural Network Model Recalling Spatial MapsKunihiko Fukushima, Yoshio Yamaguchi, Masato Okada. 329-334
• Neural Field Dynamics for Motion PerceptionMartin A. Giese, Gregor Schöner, H. S. Hock. 335-340
• Analytical Technique for Deriving Connectionist Representations of Symbol StructuresRobert E. Callan, Dominic Palmer-Brown. 341-346
• Modling Human Word Recognition with Sequences of Artificial NeuronsPeter Wittenburg, D. van Kuijk, Tjeerd Dijkstra. 347-352
• A Connectionist Variation of InheritanceMikael Bodén. 353-358
• Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel NeurocomputerPasi Kolinummi, Timo Hämäläinen, Harri Klapuri, Kimmo Kaski. 359-364
• Linearly Expandable Partial Tree Shape Architecture for Parallel NeurocomputerTimo Hämäläinen, Pasi Kolinummi, Kimmo Kaski. 365-370
• A High-Speed Scalable CMOS Current-Mode Winner-Take-All NetworkAndreas Demosthenous, John Taylor, Sean Smedley. 371-376
• An Architectural Study of a Massively Parallel Processor for Convolution-Type Operations in Complex Vision TasksMartin Franz, René Schüffny. 377-382
• FPGA Implementation of an Adaptable-Size Neural NetworkAndrés Pérez-Uribe, Eduardo Sanchez. 383-388
• Extraction of Coherent Information from Non-Overlapping Receptive FieldsDario Floreano. 389-394
• Cortio-Tectal Interactions in the Cat Visual SystemMichael Brecht, Andreas K. Engel. 395-399
• Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian ApproachLaura Martignon, Kathryn B. Laskey, Arne Schwarz, Eilon Vaadia. 401-407
• Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map ModelsMaximilian Riesenhuber, Hans-Ulrich Bauer, Theo Geisel. 409-414
• Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical ConnectionsKlaus Pawelzik, Hans-Ulrich Bauer, Fred Wolf, Theo Geisel. 415-419
• Modification of Kohonen s SOFM to Simulate Cortical Plasticity Induced by Coactivation Input PatternsMarianne Andres, Oliver Schlüter, Friederike Spengler, Hubert R. Dinse. 421-426
• Cortical Map Development Driven by Spontaneous Retinal Activity WavesChristian Piepenbrock, Helge Ritter, Klaus Obermayer. 427-432
• Simplifying Neural Networks for Controlling Walking by Exploiting Physical PropertiesHolk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Hendrik Wagner. 433-438
• Saccade Control through the Collicular Motor Map: Two-Dimensional Neural Field ModelAndreas Schierwagen, Herrad Werner. 439-444
• Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal CodingMisha Tsodyks, Henry Markram. 445-450
• Controlling the Speed of Synfire ChainsThomas Wennekers, Günther Palm. 451-456
• Temporal Compositional Processing by a DSOM Hierarchical ModelClaudio M. Privitera, Lokendra Shastri. 457-462
• A Genetic Model and the Hopfield NetworksAlberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi. 463-468
• Desaturating Coefficient for Projection Learning RuleDmitry O. Gorodnichy. 469-476
• Getting More Information out of SDMGunnar Sjödin. 477-482
• Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning RuleColin McCormack. 483-488
• Unsupervised Learning of the Minor SubspaceFa-Long Luo, Rolf Unbehauen. 489-494
• A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL ApproachMartin Schmidt. 495-500
• Active Learning of the Generalized High-Low GameMartina Hasenjäger, Helge Ritter. 501-506
• Optimality of Pocket AlgorithmMarco Muselli. 507-512
• Improvements and Extensions to the Constructive Algorithm CARVESteven Young, Tom Downs. 513-518
• Annealed RNN Learning of Finite State AutomataKen-ichi Arai, Ryohei Nakano. 519-524
• Improving Neural Network Training Based on Jacobian Rank DeficiencyGuian Zhou, Jennie Si. 531-536
• Neural Networks for Exact Constrained OptimizationJózsef Bíró, Edith Halász, Tibor Trón, Miklós Boda, Gábor Privitzky. 537-542
• Capacity of Structured Multilayer Networks with Shared WeightsSabine Kröner, Reinhard Moratz. 543-550
• Optimal Weight Decay in a PerceptronSiegfried Bös. 551-556
• Bayesian Regularization in Constructive Neural NetworksJames Tin-Yau Kwok, Dit-Yan Yeung. 557-562
• A Nonlinear Discriminant Algorithm for Data Projection and Feature ExtractionCarlos Santa Cruz, José R. Dorronsoro. 563-568
• A Modified Spreading Algorithm for Autoassociation in Weightless Neural NetworksChristopher Browne, Joel de L. Pereira Castro Jr., Amos J. Storkey. 569-574
• Analysis of Multi-Fluorescence Signals Using a Modified Self-Organizing Feature MapStefan Schünemann, Bernd Michaelis, Walter Schubert. 575-580
• Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural NetworkMonika Köhle, Dieter Merkl. 581-586
• A Neural Lexical Post-Processor for Improved Neural Predictive Word RecognitionSonia Garcia-Salicetti. 587-592
• Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural NetworksMiguel Ayala Botto, Hubert A. B. te Braake, José Sá da Costa. 593-598
• Combining Statistical Models for Protein Secondary Structure PredictionYann Guermeur, Patrick Gallinari. 599-604
• Using RBF-Nets in Rubber Industry Process ControlUlf Pietruschka, Rüdiger W. Brause. 605-610
• Towards Autonomous Robot Control via Self-Adapting Recurrent NetworksTom Ziemke. 611-616
• A Hierarchial Network for Learning Robust Models of Kinematic ChainsEric Maël. 617-622
• Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal InterplayKen Yasuhara, Hanspeter A. Mallot. 623-628
• An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control SystemStefan Zadel. 629-634
• Automatic Recalibration of a Space Robot: An Industrial PrototypeVicente Ruiz de Angulo, Carme Torras. 635-640
• Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field ModelDirk Jancke, Amir C. Akhavan, Wolfram Erlhagen, Martin A. Giese, Axel Steinhage, Gregor Schöner, Hubert R. Dinse. 641-648
• Representing Multidimensional Stimuli on the CortexFrancesco Frisone, Pietro Morasso. 649-654
• An Analysis and Interpretation of the Oscillatory Behavior of a Model of the Granular Layer of the CerebellumLokeshvar N. Kalia. 655-660
• The Cerebellum as a Coupling Machine Franz Mechsner, Günther Palm. 661-666
• The Possible Function of Dopamine in Associative Learning: A Computational ModelDaniel Durstewitz, Onur Güntürkün. 667-672
• Signatures of Dynamic Cell Assemblies in Monkey Motor CortexAlexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin. 673-678
• Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage ArchitectureT. Wesarg, B. Brückner, Carsten Schauer. 679-684
• Binding - A Proposed Experiment and a ModelJochen Triesch, Christoph von der Malsburg. 685-690
• A Reduced Model for Dendritic Trees with Active MembraneMichael Ohme, Andreas Schierwagen. 691-696
• Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight ModulationStephane Tavitian, Tibor Fomin, András Lörincz. 697-702
• Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural NetworksGilles Vaucher. 703-708
• A Spatio-Temporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 NetworkMinoru Tsukada, Takeshi Aihara, Hide-aki Saito, Hiroshi Kato. 709-714
• Learning Novel Views to a Single Face ImageThomas Vetter. 715-719
• A Parallel Algorithm Depth Perception from Radial Optical Flow FieldsJens Vogelgesang, Alex Cozzi, Florentin Wörgötter. 721-725
• Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMASWolfgang Konen. 727-734
• Geometrically Constrained Optical Flow Estimation by a Hopfield Neural NetworkAntonella Branca, Gabriella Convertino, Ettore Stella, Arcangelo Distante. 735-740
• Serial Binary Addition with Polynominally Bounded WeightsSorin Cotofana, Stamatis Vassiliadis. 741-746
• Evaluation of the Two Different Interconnection Networks of the CNAPS NeurocomputerBertrand Granado, Patrick Garda. 747-753
• Intrinsic and Parallel Performances of the OWE Neural Network ArchitectureNicolas Pican. 755-760
• An Analog CMOS Neural Network with On-Chip Learning and Multilevel Weight StorageMassimo Conti, G. Guaitini, Claudio Turchetti. 761-766
• Exponential Hebbian On-Line Learning Implemented in FPGAsMarkus L. Rossmann, T. Jost, Karl Goser, Andreas Bühlmeier, Gerhard Manteuffel. 767-772
• An Information Theoretic Measure for the Classification of Time SeriesChristian Schittenkopf, Gustavo Deco. 773-778
• Transformation of Neural OscillatorsRainer Malaka, Jörg Berdux. 779-784
• Analysis of Drifting Dynamics with Competing PredictorsJens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik. 785-790
• Inverse Dynamics Controllers for Robust Control: Consequences for NeurocontrollersCsaba Szepesvári, András Lörincz. 791-796
• A Local Connected Neural Oscillator Network for Pattern SegmentationHiroaki Kurokawa, Shinsaku Mori. 797-802
• Approximation Errors of State and Output Trajectories Using Recurrent Neural NetworksBinfan Liu, Jennie Si. 803-808
• Comparing Self-Organizing MapsSamuel Kaski, Krista Lagus. 809-814
• Nonlinear Independent Component Analysis by Self-Organizing MapsPetteri Pajunen. 815-820
• Building Nonlinear Data Models with Self-Organizing MapsRalf Der, Gerd Balzuweit, J. Michael Herrmann. 821-826
• A Parameter-Free Non-Growing Self-Organizing Map Based upon Gravitational Principles: Algorithm and ApplicationsJ. S. Lange, H. Freiesleben. 827-832
• Topological Maps for Mixture DensitiesFatiha Anouar, Fouad Badran, Sylvie Thiria. 833-838
• A Novel Algorithm for Image Segmentation Using Time Dependent Interaction ProbabilitiesRalf Opara, Florentin Wörgötter. 839-843
• Reconstruction from Graphs Labeled with Responses of Gabor FiltersMichael Pötzsch, Thomas Maurer, Laurenz Wiskott, Christoph von der Malsburg. 845-850
• Edge Information: A Confidence Based Algorithm Emphazising Continuous CurvesO. Rehse, Michael Pötzsch, Christoph von der Malsburg. 851-856
• Neural Model of Cortical Dynamics in Resonant Boundary Detection and GroupingHeiko Neumann, Petra Mössner. 857-862
• A Neural Clustering Algorithm for Estimating Visible Articulatory TrajectoryFabio Vignoli, Sergio Curinga, Fabio Lavagetto. 863-868
• Binary Spatter-Coding of Ordered K-TuplesPentti Kanerva. 869-873
• A Hybrid Approach to Natural Language ParsingChristel Kemke. 875-880
• A Self-Organizing Neural Network Approach for the Acquisition of Phonetic CategoriesKay Behnke, Peter Wittenburg. 881-886
• Inward Relearning: A Step Towards Long-Term MemorySylvie Wacquant, Frank Joublin. 887-892
• Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCDJacques Ludik, Dan J. Stein. 893-898
• Confluent Preorder Parser as Finite State AutomataEdward Kei Shiu Ho, Lai-Wan Chan. 899-904
• Modeling Psychological Stereotypes in Self-Organizing MapsThomas Crämer, Josef Göppert, Wolfgang Rosenstiel. 905-910