Abstract is missing.
- Reward Responses of Dopamine Neurons: A Biological Reinforcement SignalWolfram Schultz. 3-12
- The Information Content of Action Potential Trains - A Synaptic BasisHenry Markram, Misha Tsodyks. 13-23
- Cortical Cell Assemblies, Laminar Interaction, and Thalamocortical InterplayRobert Miller. 25-30
- Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking NeuronsNicolas Brunel. 31-36
- A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike TrainsIgor V. Tetko, Alessandro E. P. Villa. 37-42
- Spatio-Temporal Pattern Recognition with Neural Networks: Application to SpeechJean Rouat. 43-48
- Noise in Integrate-and-Fire Models of Neuronal DynamicsPetr Lánský, Vera Lánská. 49-54
- Coarse Coding Accouts for Improvement of Spatial Discrimination after Plastic Reorganization in Rats and HumansChristian W. Eurich, Hubert R. Dinse, Ulrike Dicke, Ben Godde, Helmut Schwegler. 55-60
- Analogue Resolution in a Model of the Schaffer CollateralsSimon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls. 61-66
- Modeling Networks with Linear (VLSI) Integrate-and-Fire NeuronsMaurizio Mattia, Stefano Fusi. 67-72
- An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central NeuronsGustavo Deco, Bernd Schürmann. 73-78
- Correlation Coding in Stochastic Neural NetworksRaphael Ritz, Terrence J. Sejnowski. 79-84
- Two-Dimensional Hodgkin-Huxley Equations for Investigating a Basis of Pulse-Processing Neural NetworksAkira Hirose. 85-90
- Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking NeuronesEdgar Körner, Ursula Körner. 91-96
- A Noise-Robust Auditory Modelin Front End for Voiced SpeechLeslie S. Smith. 97-102
- A Novelty Detector Using a Network of Integrate and Fire NeuronsTuong Vinh Ho, Jean Rouat. 103-108
- Derivation of Pool Dynamics from Microscopic Neuronal ModelsJulian Eggert, J. Leo van Hemmen. 109-114
- How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink ResponseVolker Steuber, David J. Willshaw. 115-120
- An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action PotentialsWalter Senn, Misha Tsodyks, Henry Markram. 121-126
- Modeling Plasticity in Rat Barrel Cortex Induced by One Spared WhiskerLubica Benuskova. 127-132
- Mathematical Analysis of Competition Between Sensory Ganglion Cells for Nerve Growth Factor in the SkinRaymond Kohli, Peter G. H. Clarke. 133-138
- Competition Amongst Neurons for NeurotrophinsArjen Van Ooyen, David J. Willshaw. 139-144
- Implementing Hebbian Learning in a Rank-Based Neural NetworkManuel Samuelides, Simon J. Thorpe, Emmanuel Veneau. 145-150
- A Model of Clipped Hebbian Learning in a Neocortical Pyramidal CellBruce Graham, David J. Willshaw. 151-156
- Hebbian Delay Adaptation in a Network of Integrate-and-Fire NeuronsChristian W. Eurich, Jack D. Cowan, John G. Milton. 157-162
- Hippocampal Formation Trains Independent Components via Forcing Input ReconstructionAndrás Lörincz. 163-168
- Nature vs. Nurture in the Development of Tangential Connections and Functional Maps in the Visual CortexSiegrid Löwel, Kerstin E. Schmidt, Wolf Singer. 171-176
- Geometric Relationships Between Feature Maps in Cat Visual CortexMark Hübener, Doron Shoham, S. Schulze, G. Brändle, Amiram Grinvald, Tobias Bonhoeffer. 177-182
- A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple CellsStefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen. 183-188
- Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer. 189-194
- Must Pinwheels Move During Visual Development?Fred Wolf, Theo Geisel. 195-200
- Extending the TRN Model in a Biologically Plausible WayFrancesco Frisone, Luca Perico, Pietro Morasso. 201-206
- SOM-Model for the Development of Oriented Receptive Fields and Orientation Maps from Non-oriented ON-center OFF-center InputsDirk Brockmann, Hans-Ulrich Bauer, Maximilian Riesenhuber, Theo Geisel. 207-212
- On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model StudyUte Bauer, Péter Adorján, Michael Scholz, Jonathan B. Levitt, Jennifer S. Lund, Klaus Obermayer. 213-218
- Statistics of Natural and Urban ImagesChristian Ziegaus, Elmar Wolfgang Lang. 219-224
- A CBL Network Model with Intracortical Plasticity and Natural Image StimuliThomas Burger, Elmar Wolfgang Lang. 225-230
- Geometry of Orientation Preference Map Determines Nonclassical Receptive Field PropertiesUdo Ernst, Klaus Pawelzik, Fred Wolf, Theo Geisel. 231-236
- A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive FieldsHauke Bartsch, Martin Stetter, Klaus Obermayer. 237-242
- Objective Functions for Neural Map FormationLaurenz Wiskott, Terrence J. Sejnowski. 243-248
- Relative Time Scales in the Self-Organization of Pattern Classification: From One-Shot to Statistical LearningKlaus Kopecz, Karim Mohraz. 249-254
- Realization of Geometric Illusions and Geometry of Visual Space with Neural NetworksJinhui Chao, Yasuhiko Miyata, Shinichi Yoshida. 255-260
- The Support Vector MethodVladimir Vapnik. 263-271
- On the Significance of Markov Decision ProcessesRichard S. Sutton. 273-282
- Economical Reinforcement Learning for Non Stationary ProblemsNathalie Chatenet, Hugues Bersini. 283-288
- A Double Gradient Algorithm to Optimize RegularizationThomas Czernichow. 289-294
- Global Least-Squares vs. EM Training for the Gaussian Mixture of ExpertsN. P. Bradshaw, Antoine Duchâteau, Hugues Bersini. 295-300
- Accelerated Learning in Boltzmann Machines Using Mean Field TheoryHilbert J. Kappen, Francisco de Borja Rodríguez Ortiz. 301-306
- Adaptive Online Learning for Nonstationary ProblemsSiegfried Bös. 307-312
- Weight Discretization due to Optical Constraints and Its Influence on the Generalization Abilities of a Simple PerceptronMaissa Aboukassem, Steffen Schwember, Steffen Noehte, Reinhard Männer. 313-318
- Wavelet Frames Based EstimatorSkander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet. 319-324
- A Spatio-temporal Perceptron for On-Line Handwritten Character RecognitionNasser Mozayyani, Gilles Vaucher. 325-330
- Learning Oscillations Using Adaptive ControlMartin Georg Weiß. 331-336
- Creation of Neural Networks Based on Developmental and Evolutionary PrinciplesPeter Eggenberger. 337-342
- A Boosting Algorithm for RegressionAlberto Bertoni, Paola Campadelli, M. Parodi. 343-348
- Combining Regularized Neural NetworksMichiaki Taniguchi, Volker Tresp. 349-354
- Making Stochastic Networks DeterministicStefan M. Rüger. 355-360
- Unsupervised Learning in Networks of Spiking Neurons Using Temporal CodingBerthold Ruf, Michael Schmitt. 361-366
- Experiments on Regularizing MLP Models with Background KnowledgeArto Selonen, Jouko Lampinen. 367-372
- Elliptical Basis Function Networks for Classification TasksSteffen Gutjahr, Joachim Feist. 373-378
- Probabilistic Neural Networks with Rotated Kernel FunctionsIngo Galleske, Juan Castellanos. 379-384
- Statistical Control of RBF-like Networks for ClassificationNorbert Jankowski, Visakan Kadirkamanathan. 385-390
- Improving RBF Networks by the Feature Selection Approach EUBAFESMatthias Scherf, Wilfried Brauer. 391-396
- Polynominal Classifiers and Support Vector MachinesIngo Graf, Ulrich Kressel, Jürgen Franke. 397-402
- Unique Representations of Dynamical Systems Produced by Recurrent Neural NetworksMasahiro Kimura, Ryohei Nakano. 403-408
- Generalization of Elman NetworksBarbara Hammer. 409-414
- Designing Neural Networks by a Combination of Structural Learning and Genetic AlgorithmsMasumi Ishikawa, Kazuhiko Nishino. 415-420
- A Recurrent Self-Organizing Map for Temporal Sequence ProcessingMarkus Varsta, José del R. Millán, Jukka Heikkonen. 421-426
- An Extended Elman Net for Modeling Time SeriesPeter Stagge, Bernhard Sendhoff. 427-432
- Recurrent Associative Memory Network of Nonlinear Coupled OscillatorsMargarita Kuzmina, Eduard A. Manykin, Irina Surina. 433-438
- A Layered Recurrent Neural Network for Feature GroupingHeiko Wersing, Jochen J. Steil, Helge Ritter. 439-444
- A Multilayer Real-Time Recurrent Learning Algorithm for Improved ConvergenceKürt Meert, Jacques Ludik. 445-450
- Increasing the Capacity of a Hopfield Network without Sacrificing FunctionalityAmos J. Storkey. 451-456
- A Novel Associative Network Accomodating Pattern DeformationHui Wang, David A. Bell. 457-462
- Adaptive Noise Injection for Input Variables Relevance DeterminationYves Grandvalet, Stéphane Canu. 463-468
- Input Selection with Partial RetrainingPiërre van de Laar, Stan C. A. M. Gielen, Tom Heskes. 469-474
- On the Complexity of Recognizing Iterated Differences of PolyhedraEddy Mayoraz. 475-480
- Optimal Linear Regression on Classifier OutputsYann Guermeur, Florence d Alché-Buc, Patrick Gallinari. 481-486
- Learning Verification in Multilayer Neural NetworksRégis Quélavoine, Pascal Nocera. 487-492
- Design of a Fault Tolerant Multilayer Perceptron with a Desired Level of RobustnessOh Jun Kwon, Sung Yang Bang. 493-498
- Mixtures of Experts Estimate A Posteriori ProbabilitiesPerry Moerland. 499-504
- Admissibility and Optimality of the Cascade-Correlation AlgorithmAxel Doering, Miroslaw Galicki, Herbert Witte. 505-510
- The Effective VC Dimension of the n-tuple ClassifierN. P. Bradshaw. 511-516
- From Neural Principal Components to Neural Independent ComponentsErkki Oja, Juha Karhunen, Aapo Hyvärinen. 519-528
- Entropy Optimization - Application to Blind Source SeparationAnisse Taleb, Christian Jutten. 529-534
- Improving the Performance of Infomax Using Statistical Signal Processing TechniquesBert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister. 535-540
- A Maximum Likelihood Approach to Nonlinear Blind Source SeparationPetteri Pajunen, Juha Karhunen. 541-546
- A Perceptron-Based Approach to Piecewise Linear Modeling with an Application to Time SeriesMarco Mattavelli, Edoardo Amaldi, Jean-Marc Vesin. 547-552
- Local Independent Component Analysis by the Self-Organizing MapErkki Oja, Kimmo Valkealahti. 553-558
- Model Breaking Detection Using Independent Component ClassifierGeorges Linares, Pascal Nocera, Henri Meloni. 559-564
- Neural Network Based Processing for Smart Sensors ArraysAnisoara Paraschiv-Ionescu, Christian Jutten, Gérard Bouvier. 565-570
- Application of the MEC Network to Principal Component Analysis and Source SeparationSimone Fiori, Aurelio Uncini, Francesco Piazza. 571-576
- Semi-Blind Source Parameter SeparationJyrki Joutsensalo. 577-582
- Kernel Principal Component AnalysisBernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. 583-588
- An Empirical Comparison of Dimensionality Reduction Techniques for Pattern ClassificationThiagarajan Balachander, Ravi Kothari, Hernani Cualing. 589-594
- Topology Representing Networks for Intrinsic Dimensionality EstimationJörg Bruske, Gerald Sommer. 595-600
- SOM Based Visualization in Data AnalysisErkki Häkkinen, Pasi Koikkalainen. 601-606
- ARTMAP-DS: Pattern Discrimination by Discounting SimilaritiesGail A. Carpenter, Frank D. M. Wilson. 607-612
- A Self-Organizing Network that Can Follow Non-stationary DistributionsBernd Fritzke. 613-618
- Phase Transitions in Soft Topographic Vector QuantizationMatthias Burger, Thore Graepel, Klaus Obermayer. 619-624
- Vector Quantization by Optimal Neural GasJ. Michael Herrmann, Thomas Villmann. 625-630
- Convergences of the Kohonen Maps: A Dynamical System ApproachJean-Claude Fort, Gilles Pagès. 631-636
- Local Subspace ClassifierJorma Laaksonen. 637-642
- Asymptotic Distributions Associated to Unsupervised Oja s Learning EquationJean Pierre Delmas. 643-648
- The Probabilistic Growing Cell Structures AlgorithmNikos A. Vlassis, Apostolos Dimopoulos, George K. Papakonstantinou. 649-654
- Unsupervised Coding with LOCOCODESepp Hochreiter, Jürgen Schmidhuber. 655-660
- Wave Propagation in Self-Organizing Feature Maps as a Means for the Representation of Temporal SequencesBjörn Dobrzewski, D. Ruwish, Mathias Bode. 661-666
- Contextual Kohonen SOM with Orthogonal Weight Estimator PrincipleNicolas Pican. 667-672
- Self-Organizing Maps for Robot ControlHelge Ritter. 675-684
- Cognition is Not Computation; Evolution is Not OptimisationInman Harvey. 685-690
- Information Theoretic Implications of Embodiment for Neural Network LearningChristian Scheier, Rolf Pfeifer. 691-696
- Visual Attention and Learning of a Cognitive RobotJun Tani. 697-702
- Feature Binding Through Temporally Correlated Neural Activity in a Robot Model of Visual PerceptionSteffen Egner, Christian Scheier. 703-708
- Modeling Obstacle Avoidance Behavior of Files Using an Adaptive Autonomous AgentSusanne A. Huber, Heinrich H. Bülthoff. 709-714
- Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated EvolutionTitus R. Neumann, Susanne A. Huber, Heinrich H. Bülthoff. 715-720
- Synthesis of Developmental and Evolutionary Modeling of Adaptive Autonomous AgentsJari Vaario, Katsunori Shimohara. 721-726
- Hebbian Multilayer Network in a Wheelchair RobotAndreas Bühlmeier, P. Steiner, Markus L. Rossmann, Karl Goser, Gerhard Manteuffel. 727-732
- Neural Networks in an Artificial Life PerspectiveStefano Nolfi, Domenico Parisi. 733-737
- Incremental Acquisition of Local Networks for the Control of Autonomous RobotsJosé del R. Millán. 739-744
- Robot-Animal InteractionHenrik Hautop Lund. 745-750
- The View-Graph Approach to Visual Navigation and Spatial MemoryHanspeter A. Mallot, Matthias O. Franz, Bernhard Schölkopf, Heinrich H. Bülthoff. 751-756
- Place Sequence Learning for NavigationOlivier Trullier, Jean-Arcady Meyer. 757-762
- Learning to Communicate Through Imitation in Autonomous RobotsAude Billard, Gillian Hayes. 763-768
- On Learning Soccer StrategiesRafal Salustowicz, Marco Wiering, Jürgen Schmidhuber. 769-774
- A Model of Logic Like Inference by Memory Model PATONKentaro Mizutani, Takashi Omori. 775-780
- Force Feedback Control of an Assembly Robot by Neural NetworksNadia Saadia, Yassine Amirat, Jean Pontnaut, Amar Ramdane-Cherif. 781-786
- Neural Force Control (NFC) for Complex Manipulator TasksM. Dapper, R. Maass, V. Zahn, Rolf Eckmiller. 787-792
- A Hybrid Path Planning System Combining the A:::*:::-Method and RBF-Networks:::*:::Thomas Frontzek, Nils Goerke, Rolf Eckmiller. 793-798
- An ASSOM Neural Network to Represent Actions Performed by an Autonomous AgentAntonio Chella, Salvatore Gaglio, V. Mulia, Giuseppe Sajeva. 799-804
- The Application of Radial Basis Function Networks with Implicit Continuity ConstraintsRalf Salomon. 805-810
- Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic SensorsGiacomo Indiveri, Paul F. M. J. Verschure. 811-816
- Neural Network Visual Tracking SystemV. Ortmann, Rolf Eckmiller. 817-822
- Pole-Balancing with Different Evolved NeurocontrollersFrank Pasemann. 823-829
- Calibration of Parallel Robots by Evolutionary AlgorithmIgor Kokcharov. 831-836
- On Use of ANNs to Model and to Control Robot ManipulatorsIgnacy Culeba, Robert Muszynski. 837-842
- Identification of the Electric Arc of a FurnaceCorinne Ledoux, François Bonnard. 843-848
- On Using MLPs for Step Size Control in Echo Cancellation for Hands-Free Telephone SetsChristina Breining, Gerrit Alt. 849-854
- Neurocontrol of Nonlinear Dynamic Systems Subject to Unmeasured Disturbance InputsHabtom W. Ressom, Lothar Litz. 855-860
- Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical ApplicationHugo Zaragoza, Patrick Gallinari. 861-866
- A Neural Network for Parameter Estimation of a DC Motor for Feed-DrivesXavier Desforges, Abdallah Habbadi. 867-872
- State-of-the-Art and Recent Progress in Hybrid HMM/ANN Speech RecognitionHervé Bourlard. 875-884
- Perceptual Grouping and Attention During Cortical Form and Motion ProcessingStephen Grossberg. 885-894
- Development of Shape Primitives from Images of Composite Objects Represented by Complex CellsLadan Shams, Christoph von der Malsburg. 895-900
- Corner Detection in Color Images by Multiscale Combination of End-Stopped Cortical CellsRolf P. Würtz, Tino Lourens. 901-906
- Constructing the Cyclopean ViewRolf D. Henkel. 907-912
- SAIM: A Model of Visual Attention and NeglectDietmar Heinke, Glyn W. Humphreys. 913-918
- Object Selection with Dynamic Neural MapsFred Henrik Hamker, Horst-Michael Gross. 919-924
- A Pre-Processing Technique Based on the Wavelet Transform for Linear Autoassociators with Applications to Face RecognitionFan Yang, Michel Paindavoine, Hervé Abdi. 925-930
- Recognition and Segmentation of Components of a Face by a Multi-Resolution Neural NetworkKunihiko Fukushima, Hideki Hashimoto. 931-936
- Sensor Fusion for Mine Detection with the RNNErol Gelenbe, Taskin Koçak, Leslie Collins. 937-942
- Image Segmentation for 3D Object Recognition Using Bidirectional NetworksToshifumi Fujita, Hiroshi Ando. 943-948
- A Feature Map Approach to Pose Estimation Based on QuaternionsS. Winkler, Patrick Wunsch, Gerd Hirzinger. 949-954
- Facial Feature Detection Using Neural NetworksAxel Christian Varchmin, Robert Rae, Helge Ritter. 955-960
- Random Neural Network Recognition of Shaped Objects in Strong ClutterHakan Bakircioglu, Erol Gelenbe, Larry Carin. 961-966
- AdaBoosting Neural Networks: Application to on-line Character RecognitionHolger Schwenk, Yoshua Bengio. 967-972
- Cursive Script Recognition with Time Delay Neural Networks Using Learning HintsUrs-Viktor Marti, Guido Kaufmann, Horst Bunke. 973-978
- A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen ClassificationEric de Bodt, Philippe Grégoire, Marie Cottrell. 981-986
- Neural Model Selection: How to Determine the Fittest Criterion?Morgan Mangeas. 987-992
- Long Term Forecasting by Combining Kohonen Algorithm and Standard PrevisionMarie Cottrell, Bernard Girard, Patrick Rousset. 993-998
- Predicting Time Series with Support Vector MachinesKlaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik. 999-1004
- An Extended Neuron Model for Efficient Time-Series Generation and PredictionThomas Burg, Nadine N. Tschichold-Gürman. 1005-1010
- Different Model Types for Short-Term Forecasting of Characteristic Load PointsMyriam Monteyne, Tristan Salomé, Françoise de Viron, Jean-Michel Renders, Pierre Doulliez, François Dongier, Jean Claus. 1011-1016
- Assessing Error Bars in Distribution Load Curve EstimationJosé Nuno Fidalgo, Manuel A. Matos, Maria Teresa de Ponce Leão. 1017-1022
- Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series PredictionThomas Ragg, Steffen Gutjahr. 1023-1028
- A Probability Estimation Based Criteria for Model EvaluationThomas Czernichow, Antonio Muñoz. 1029-1034
- Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural NetsFrancesco Camastra, Anna Maria Colla. 1035-1040
- Predictive Neural Models in Noisy EnvironmentThierry Lenez, Bernadette Dorizzi. 1041-1046
- A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input SequenceAshraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara. 1047-1052
- Modeling Conditional Probabilities with Committees of RVFL NetworksDirk Husmeier, John G. Taylor. 1053-1058
- Classifying the Wear of Turning Tools with Neural NetworksBernhard Sick. 1059-1064
- Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First PrototypeYves Moreau, Herman Verrelst, Joos Vandewalle. 1065-1070
- Wiener Type SOM- and MLP-classifiers for Recognition of Dynamic ModesArto Visala, Hannu Pitkänen, Aarne Halme. 1071-1076
- Analysis of Wake/Sleep EEG with Competing ExpertsJens Kohlmorgen, Klaus-Robert Müller, J. Rittweger, Klaus Pawelzik. 1077-1082
- Nonlinear Modelling of the Daily Heart RhythmRosaria Silipo, Gustavo Deco, Rossano Vergassola, Christian Schittenkopf, Celio Gremigni. 1083-1088
- Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic ManagementYounès Bennani, Fabrice Bossaert, Elisabeth Didelet. 1089-1094
- Neural Network Adaptive Modeling of Battery Discharge BehaviorOlivier Gérard, Jean-Noël Patillon, Florence d Alché-Buc. 1095-1100
- Neural Combustion ControlRainer Müller. 1101-1106
- A Neural Network Based Fault Detector for Power Distribution SystemsYasmine Assef, Patrick Bastard, Michel Meunier. 1107-1112
- Visualization and Analysis of Voltage Stability Using Self-Organizing Neural NetworksEdmund Handschin, Dietmar Kuhlmann, Christian Rehtanz. 1113-1118
- Classification of Meteorological PatternsJ. Ambühl, D. Cattani, P. Eckert. 1119-1124
- Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate GeostatisticsMikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan. 1125-1130
- Pseudo-Resistive Networks and their Applications to Analog Collective ComputationEric A. Vittoz. 1133-1150
- Implementation of CNN Computing TechnologyTamás Roska. 1151-1155
- Implementation of a Masking Network for Speech PerceptionTzi-Dar Chiueh, Linkai Bu. 1157-1162
- Real-Time Analog VLSI Sensors for 2-D Direction of MotionRainer A. Deutschmann, Charles M. Higgins, Christof Koch. 1163-1168
- An Improved Multiplexed Resistive Network for Analog Image PreprocessingChang-Han Yi, Robert Schlabbach, Holger Kroth, Heinrich Klar. 1169-1174
- An Analog VLSI Computational Engine for Early Vision TasksGiacomo M. Bisio, Gian Marco Bo, M. Confalone, Luigi Raffo, Silvio P. Sabatini, M. P. Zizola. 1175-1180
- Spatio-temporal Filter Adjustment from Evaluative Feedback for a Retina ImplantMichael Becker, Rolf Eckmiller. 1181-1186
- Simulation of Spiking Neural Networks on Different Hardware PlatformsAxel Jahnke, Tim Schönauer, Ulrich Roth, K. Mohraz, Heinrich Klar. 1187-1192
- Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal SignalsTadeusz Lobos, Andrzej Cichocki, Pawel Kostyla, Zbigniew Waclawek. 1193-1198
- Analog Sequential Architecture for Neuro-Fuzzy Models VLSI ImplementationJuan Manuel Moreno, Jordi Madrenas, Eduard Alarcón, Joan Cabestany. 1199-1204
- A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire TransformationM. Oláh, P. Masa, András Lörincz. 1205-1210
- Analysis and Improvement of Neural Network Robustness for On-Board Satellite Image ProcessingJean-Denis Muller, Ph. Cheynet, Raoul Velazco. 1211-1216
- On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINNUlrich Roth, Axel Jahnke, Heinrich Klar. 1217-1222
- Measurement of Finite-Precision Effects in Handwriting- and Speech-Recognition AlgorithmsEduard Säckinger. 1223-1228
- A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Contol Systems in Industrial ApplicationsDaniela Baratta, Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle, Giovanni Canepa, Riccardo Parenti, Carla Penno. 1229-1234
- The SAND Neurochip and Its Embedding in the MiND SystemThomas Fischer, Wolfgang Eppler, Hartmut Gemmeke, Gerd Kock, Thomas Becher. 1235-1240
- Short- and Long-Term Dynamics in a Stochastic Pulse Stream Neuron Implemented in FPGAMarkus L. Rossmann, Andreas Bühlmeier, Gerhard Manteuffel, Karl Goser. 1241-1246
- FPGA Implementation of a Network of Neuronlike Adaptive ElementsAndrés Pérez-Uribe, Eduardo Sanchez. 1247-1252
- Handwritten Digit Recognition with Binary Optical PerceptronI. Saxena, P. Moerland, Emile Fiesler, A. Pourzand. 1253-1258
- Mapping of Radial Basis Function Networks to Partial Tree Shape Parallel NeurocomputerPasi Kolinummi, Timo Hämäläinen, Jukka Saarinen. 1259-1264
- Attractor Dynamics in an Electronic Neural NetworkPaolo Del Giudice, Stefano Fusi. 1265-1270