6. ICANN 1996: Bochum, Germany

Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff (Eds.): Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, germany, July 16-19, 1996, Proceedings. Lecture Notes in Computer Science 1112 Springer 1996, ISBN 3-540-61510-5 BibTeX

@proceedings{DBLP:conf/icann/1996,
  editor    = {Christoph von der Malsburg and
               Werner von Seelen and
               Jan C. Vorbr{\"u}ggen and
               Bernhard Sendhoff},
  title     = {Artificial Neural Networks - ICANN 96, 1996 International Conference,
               Bochum, germany, July 16-19, 1996, Proceedings},
  booktitle = {ICANN},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1112},
  year      = {1996},
  isbn      = {3-540-61510-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Plenary Presentations

Hermann Kolanoski: Application of Artificial Neural Networks in Particle Physics. 1-14 BibTeX
Hans-Paul Schwefel: Evolutionary Computation - History, Status, and Perspectives. 15 BibTeX
Moshe Abeles, Y. Prut: Temporal Structure of Cortical Activity. 16 BibTeX
Ulrich Ramacher: SEE-1 - A Vision System for Use in Real World Environments. 17 BibTeX
P. Fromherz: Towards Integration of Nerve Cells and Silicon Devices. 18 BibTeX
C. H. Anderson: Unifying Perspectives on Neuronal Codes and Processing. 19 BibTeX
David I. Perrett: Visual Recognition Based on Coding in Temporal Cortex: Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental Rotation. 20 BibTeX

Oral Presentations: Theory

Theory 1: Associative Memory

Han-Bing Ji, Kwong-Sak Leung, Yee Leung: A Novel Encoding Strategy for Associative Memory. 21-27 BibTeX
Paulo J. L. Adeodato, John G. Taylor: Autoassociative Memory with high Storage Capacity. 29-34 BibTeX
Bruce Graham, David J. Willshaw: Information Efficiency of the Associative Net at Arbitrary Coding Rates. 35-40 BibTeX

Theory 2: Learning

Marcel J. Nijman, Hilbert J. Kappen: Efficient Learning in Sparsely Connected Boltzmann Machines. 41-46 BibTeX
Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. 47-52 BibTeX
Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin: Estimating the Reliability of Neural Network Classifications. 53-58 BibTeX
Christopher M. Bishop, Cazhaow S. Quazaz: Bayesian Inference of Noise Levels in Regression. 59-64 BibTeX

Theory 3: Generalization 1

Ari Hämäläinen, Lasse Holmström: Complexity Reduction in Probabilistic Neural Networks. 65-70 BibTeX
Lucia Sardo, Josef Kittler: Asymptotic Complexity of an RBF NN for Correlated Data Representation. 71-76 BibTeX

Theory 4: Generalization 2

Sarunas Raudys, Tautvydas Cibas: Regularization by Early Stopping in Single Layer Perceptron Training. 77-82 BibTeX
Stefan M. Rüger, Arnfried Ossen: Clustering in Weight Space of Feedforward Nets. 83-88 BibTeX
Siegfried Bös: Learning Curves of On-line and Off-line Training. 89-94 BibTeX

Theory 5: Collective Dynamics

David M. J. Tax, Hilbert J. Kappen: Learning Structure with Many-Take-All Networks. 95-100 BibTeX
Hilbert J. Kappen, Pablo Varona: Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. 101-106 BibTeX
Ulrich Hillenbrand, J. Leo van Hemmen: Collective Dynamics of a System of Adaptive Velocity Channels. 107-114 BibTeX

Theory 6: Time Series

Oliver Nelles: Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems. 115-120 BibTeX
Gustavo Deco, Bernd Schürmann: Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method. 121-126 BibTeX
Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen: Prediction of Mixtures. 127-132 BibTeX
Masahiro Kimura, Ryohei Nakano: Learning Dynamical Systems Produced by Recurrent Neural Networks. 133-138 BibTeX

Theory 7: Unsupervised Learning

Aapo Hyvärinen: Purely Logical Neural Principal Component and Independent Component Learning. 139-144 BibTeX
Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann: How Fast can Neuronal Algorithms Match Patterns. 145-150 BibTeX

Theory 8: Self-Organizing Maps

Thomas Hofmann, Joachim M. Buhmann: An Annealed ``Neural Gas'' Network for Robust Vector Quantization. 151-156 BibTeX
Jörg A. Walter, Helge Ritter: Associative Completion and Investment Learning Using PSOMs. 157-164 BibTeX
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams: GTM: A Principled Alternative to the Self-Organizing Map. 165-170 BibTeX

Oral Presentations: Applications

Scientific Applications 1

Alberto Muñoz: Creating Term Associations Using a Hierarchical ART Architecture. 171-177 BibTeX
Thomas Czernichow: Architecture Selection through Statistical Sensitivity Analysis. 179-184 BibTeX
P. Daigremont, H. de Lassus, Fouad Badran, Sylvie Thiria: Regression by Topological Map: Application on Real Data. 185-190 BibTeX

Industrial Applications

Kenneth A. Marko, John V. James, Timothy M. Feldkamp, Gintaras V. Puskorius, Lee A. Feldkamp: Signal Processing by Neural Networks to Create ``Virtual'' Sensors and Model-Based Diagnostics. 191-196 BibTeX
R. M. L. Frenken, C. M. Rozendaal, H. E. Dijk, P. C. Knöster: Development of an Advisory System Based on a Neural Network for the Operation of a Coal Fired Power Plant. 197-202 BibTeX
Joachim Angstenberger: Blast Furnace Analysis with Neural Networks. 203-208 BibTeX
Philippe Leray, Patrick Gallinari, Elisabeth Didelet: Diagnosis Tools for Telecommunication Network Traffic Management. 209-214 BibTeX

Applications in Robotics

Jörg Bruske, Michael Hansen, Lars Riehn, Gerald Sommer: Adaptive Saccade Control of a Binocular Head with Dynamic Cell Structures. 215-220 BibTeX
Cristina Versino, Luca Maria Gambardella: Learing Fine Motion by Using the Hierarchical Extended Kohonen Map. 221-226 BibTeX

Scientific Applications 2

Jorma Laaksonen, Erkki Oja: Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. 227-232 BibTeX
Maria Wolters: A Dual Route Neural Net Approach to Grapheme-to-Phoneme Conversion. 233-238 BibTeX
Matthias Dümpelmann, Christian Erich Elger: Separating EEG Spike-Clusters in Epilepsy by a Growing and Splitting Net. 239-244 BibTeX

Image Processing Applications

Kimmo Valkealahti, Erkki Oja: Optimal Texture Feature Selection for the Co-Occurrence Map. 245-250 BibTeX
Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter: Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models. 251-256 BibTeX
Hubert Austermeier, Georg Hartmann, Ralf Hilker: Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps. 257-262 BibTeX

Practical Applications

Gonzalo Acuña, Héctor Jorquera, Ricardo Pérez: Neural Network Model for Maximum Ozone Concentration Prediction. 263-268 BibTeX
Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela: Very Large Two-Level SOM for the Browsing of Newsgroups. 269-274 BibTeX
Qing Ma, Hitoshi Isahara, Hiromi Ozaku: Automatic Part-of-Speech Tagging of Thai Corpus Using Neural Networks. 275-280 BibTeX
Gavin C. Cawley, Stephen R. Dorling: Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. 281-286 BibTeX

Oral Presentations: Sensory Processing

Sensory Processing 1: Classification

Howard Hua Yang, Shun-ichi Amari: Two Gradient Descent Algorithms for Blind Signal Separation. 287-292 BibTeX
H. de Lassus, P. Daigremont, Fouad Badran, Sylvie Thiria, A. Lecacheux: Classification Rejection by Prediction. 293-298 BibTeX
Dong-Hyun Lee, John S. Payne, Hyung-Gi Byun, Krishna C. Persaud: Application of Radial Basis Function Neural Networks to Odour Sensing Using a Broad Specifity Array of Conducting Polymers. 299-304 BibTeX

Sensory Processing 2: Object Recognition

Gunther Heidemann, Franz Kummert, Helge Ritter, Gerhard Sagerer: A Hybrid Object Recognition Architecture. 305-310 BibTeX
Andreas Bühlmeier, Gerhard Manteuffel, Markus L. Rossmann, Karl Goser: Robot Learning in Analog Neural Hardware. 311-316 BibTeX
Enno Littmann, Andrea Drees, Helge Ritter: Visual Gesture Recognition by a Modular Neural System. 317-322 BibTeX
Thomas Maurer, Christoph von der Malsburg: Tracking and Learning Graphs on Image Sequences of Faces. 323-328 BibTeX

Oral Presentations: Cognitive Science and AI

Cognitive Science and AI 1: Perceptual Organization

Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada: Neural Network Model Recalling Spatial Maps. 329-334 BibTeX
Martin A. Giese, Gregor Schöner, H. S. Hock: Neural Field Dynamics for Motion Perception. 335-340 BibTeX

Cognitive Science and AI 2: Symbolic Processing

Robert E. Callan, Dominic Palmer-Brown: Analytical Technique for Deriving Connectionist Representations of Symbol Structures. 341-346 BibTeX
Peter Wittenburg, D. van Kuijk, Tjeerd Dijkstra: Modling Human Word Recognition with Sequences of Artificial Neurons. 347-352 BibTeX
Mikael Bodén: A Connectionist Variation of Inheritance. 353-358 BibTeX

Oral Presentations: Implementations

Implementations: Tree-Shaped Architectures

Pasi Kolinummi, Timo Hämäläinen, Harri Klapuri, Kimmo Kaski: Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel Neurocomputer. 359-364 BibTeX
Timo Hämäläinen, Pasi Kolinummi, Kimmo Kaski: Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer. 365-370 BibTeX

Implementations: Dynamic and Massively Parallel Networks

Andreas Demosthenous, John Taylor, Sean Smedley: A High-Speed Scalable CMOS Current-Mode Winner-Take-All Network. 371-376 BibTeX
Martin Franz, René Schüffny: An Architectural Study of a Massively Parallel Processor for Convolution-Type Operations in Complex Vision Tasks. 377-382 BibTeX
Andrés Pérez-Uribe, Eduardo Sanchez: FPGA Implementation of an Adaptable-Size Neural Network. 383-388 BibTeX

Oral Presentations: Neurobiology

Neurobiology 1: Information Coding

Dario Floreano: Extraction of Coherent Information from Non-Overlapping Receptive Fields. 389-394 BibTeX
Michael Brecht, Andreas K. Engel: Cortio-Tectal Interactions in the Cat Visual System. 395-399 BibTeX
Laura Martignon, Kathryn B. Laskey, Arne Schwarz, Eilon Vaadia: Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach. 401-407 BibTeX

Neurobiology 2: Cortical Maps

Maximilian Riesenhuber, Hans-Ulrich Bauer, Theo Geisel: Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map Models. 409-414 BibTeX
Klaus Pawelzik, Hans-Ulrich Bauer, Fred Wolf, Theo Geisel: Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical Connections. 415-419 BibTeX
Marianne Andres, Oliver Schlüter, Friederike Spengler, Hubert R. Dinse: Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns. 421-426 BibTeX
Christian Piepenbrock, Helge Ritter, Klaus Obermayer: Cortical Map Development Driven by Spontaneous Retinal Activity Waves. 427-432 BibTeX

Neurobiology 3: Motor Control

Holk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Hendrik Wagner: Simplifying Neural Networks for Controlling Walking by Exploiting Physical Properties. 433-438 BibTeX
Andreas Schierwagen, Herrad Werner: Saccade Control through the Collicular Motor Map: Two-Dimensional Neural Field Model. 439-444 BibTeX

Neurobiology 4: Temporal Processing

Misha Tsodyks, Henry Markram: Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. 445-450 BibTeX
Thomas Wennekers, Günther Palm: Controlling the Speed of Synfire Chains. 451-456 BibTeX
Claudio M. Privitera, Lokendra Shastri: Temporal Compositional Processing by a DSOM Hierarchical Model. 457-462 BibTeX

Poster Presentations 1

Theory 1: Associative Memory

Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi: A Genetic Model and the Hopfield Networks. 463-468 BibTeX
Dmitry O. Gorodnichy: Desaturating Coefficient for Projection Learning Rule. 469-476 BibTeX
Gunnar Sjödin: Getting More Information out of SDM. 477-482 BibTeX

Theory 2: Learning

Colin McCormack: Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning Rule. 483-488 BibTeX
Fa-Long Luo, Rolf Unbehauen: Unsupervised Learning of the Minor Subspace. 489-494 BibTeX
Martin Schmidt: A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL Approach. 495-500 BibTeX
Martina Hasenjäger, Helge Ritter: Active Learning of the Generalized High-Low Game. 501-506 BibTeX
Marco Muselli: Optimality of Pocket Algorithm. 507-512 BibTeX
Steven Young, Tom Downs: Improvements and Extensions to the Constructive Algorithm CARVE. 513-518 BibTeX
Ken-ichi Arai, Ryohei Nakano: Annealed RNN Learning of Finite State Automata. 519-524 BibTeX
Bernd Freisleben, Claudia Hagen: A Hierarchical Learning Rule for Independent Component Analysis. 252-530 BibTeX
Guian Zhou, Jennie Si: Improving Neural Network Training Based on Jacobian Rank Deficiency. 531-536 BibTeX

Theory 3: Generalization

József Bíró, Edith Halász, Tibor Trón, Miklós Boda, Gábor Privitzky: Neural Networks for Exact Constrained Optimization. 537-542 BibTeX
Sabine Kröner, Reinhard Moratz: Capacity of Structured Multilayer Networks with Shared Weights. 543-550 BibTeX
Siegfried Bös: Optimal Weight Decay in a Perceptron. 551-556 BibTeX
James Tin-Yau Kwok, Dit-Yan Yeung: Bayesian Regularization in Constructive Neural Networks. 557-562 BibTeX
Carlos Santa Cruz, José R. Dorronsoro: A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. 563-568 BibTeX
Christopher Browne, Joel de L. Pereira Castro Jr., Amos J. Storkey: A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks. 569-574 BibTeX

Scientific Applications

Stefan Schünemann, Bernd Michaelis, Walter Schubert: Analysis of Multi-Fluorescence Signals Using a Modified Self-Organizing Feature Map. 575-580 BibTeX
Monika Köhle, Dieter Merkl: Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network. 581-586 BibTeX
Sonia Garcia-Salicetti: A Neural Lexical Post-Processor for Improved Neural Predictive Word Recognition. 587-592 BibTeX
Miguel Ayala Botto, Hubert A. B. te Braake, José Sá da Costa: Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks. 593-598 BibTeX
Yann Guermeur, Patrick Gallinari: Combining Statistical Models for Protein Secondary Structure Prediction. 599-604 BibTeX

Applications in Robotics and Industry

Ulf Pietruschka, Rüdiger W. Brause: Using RBF-Nets in Rubber Industry Process Control. 605-610 BibTeX
Tom Ziemke: Towards Autonomous Robot Control via Self-Adapting Recurrent Networks. 611-616 BibTeX
Eric Maël: A Hierarchial Network for Learning Robust Models of Kinematic Chains. 617-622 BibTeX
Ken Yasuhara, Hanspeter A. Mallot: Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal Interplay. 623-628 BibTeX
Stefan Zadel: An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System. 629-634 BibTeX
Vicente Ruiz de Angulo, Carme Torras: Automatic Recalibration of a Space Robot: An Industrial Prototype. 635-640 BibTeX

Poster Presentations 2

Neurobiology 1: Visual Cortex/Cerebellum

Dirk Jancke, Amir C. Akhavan, Wolfram Erlhagen, Martin A. Giese, Axel Steinhage, Gregor Schöner, Hubert R. Dinse: Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model. 641-648 BibTeX
Francesco Frisone, Pietro Morasso: Representing Multidimensional Stimuli on the Cortex. 649-654 BibTeX
Lokeshvar N. Kalia: An Analysis and Interpretation of the Oscillatory Behavior of a Model of the Granular Layer of the Cerebellum. 655-660 BibTeX
Franz Mechsner, Günther Palm: The Cerebellum as a ``Coupling Machine''. 661-666 BibTeX

Neurobiology 2: Cortex

Daniel Durstewitz, Onur Güntürkün: The Possible Function of Dopamine in Associative Learning: A Computational Model. 667-672 BibTeX
Alexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin: Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex. 673-678 BibTeX
T. Wesarg, B. Brückner, Carsten Schauer: Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage Architecture. 679-684 BibTeX
Jochen Triesch, Christoph von der Malsburg: Binding - A Proposed Experiment and a Model. 685-690 BibTeX

Neurobiology 3: Single Cell/Learning Rules

Michael Ohme, Andreas Schierwagen: A Reduced Model for Dendritic Trees with Active Membrane. 691-696 BibTeX
Stephane Tavitian, Tibor Fomin, András Lörincz: Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation. 697-702 BibTeX
Gilles Vaucher: Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural Networks. 703-708 BibTeX
Minoru Tsukada, Takeshi Aihara, Hide-aki Saito, Hiroshi Kato: A Spatio-Temporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 Network. 709-714 BibTeX

Image Processing Applications

Thomas Vetter: Learning Novel Views to a Single Face Image. 715-719 BibTeX
Jens Vogelgesang, Alex Cozzi, Florentin Wörgötter: A Parallel Algorithm Depth Perception from Radial Optical Flow Fields. 721-725 BibTeX
Wolfgang Konen: Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. 727-734 BibTeX
Antonella Branca, Gabriella Convertino, Ettore Stella, Arcangelo Distante: Geometrically Constrained Optical Flow Estimation by a Hopfield Neural Network. 735-740 BibTeX

Implementations

Sorin Cotofana, Stamatis Vassiliadis: Serial Binary Addition with Polynominally Bounded Weights. 741-746 BibTeX
Bertrand Granado, Patrick Garda: Evaluation of the Two Different Interconnection Networks of the CNAPS Neurocomputer. 747-753 BibTeX
Nicolas Pican: Intrinsic and Parallel Performances of the OWE Neural Network Architecture. 755-760 BibTeX
Massimo Conti, G. Guaitini, Claudio Turchetti: An Analog CMOS Neural Network with On-Chip Learning and Multilevel Weight Storage. 761-766 BibTeX
Markus L. Rossmann, T. Jost, Karl Goser, Andreas Bühlmeier, Gerhard Manteuffel: Exponential Hebbian On-Line Learning Implemented in FPGAs. 767-772 BibTeX

Poster Presentations 3

Theory 4: Collective Dynamics and Time Series

Christian Schittenkopf, Gustavo Deco: An Information Theoretic Measure for the Classification of Time Series. 773-778 BibTeX
Rainer Malaka, Jörg Berdux: Transformation of Neural Oscillators. 779-784 BibTeX
Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik: Analysis of Drifting Dynamics with Competing Predictors. 785-790 BibTeX
Csaba Szepesvári, András Lörincz: Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers. 791-796 BibTeX
Hiroaki Kurokawa, Shinsaku Mori: A Local Connected Neural Oscillator Network for Pattern Segmentation. 797-802 BibTeX
Binfan Liu, Jennie Si: Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks. 803-808 BibTeX

Theory 5: Self-Organizing Maps

Samuel Kaski, Krista Lagus: Comparing Self-Organizing Maps. 809-814 BibTeX
Petteri Pajunen: Nonlinear Independent Component Analysis by Self-Organizing Maps. 815-820 BibTeX
Ralf Der, Gerd Balzuweit, J. Michael Herrmann: Building Nonlinear Data Models with Self-Organizing Maps. 821-826 BibTeX
J. S. Lange, H. Freiesleben: A Parameter-Free Non-Growing Self-Organizing Map Based upon Gravitational Principles: Algorithm and Applications. 827-832 BibTeX
Fatiha Anouar, Fouad Badran, Sylvie Thiria: Topological Maps for Mixture Densities. 833-838 BibTeX

Sensory Processing

Ralf Opara, Florentin Wörgötter: A Novel Algorithm for Image Segmentation Using Time Dependent Interaction Probabilities. 839-843 BibTeX
Michael Pötzsch, Thomas Maurer, Laurenz Wiskott, Christoph von der Malsburg: Reconstruction from Graphs Labeled with Responses of Gabor Filters. 845-850 BibTeX
O. Rehse, Michael Pötzsch, Christoph von der Malsburg: Edge Information: A Confidence Based Algorithm Emphazising Continuous Curves. 851-856 BibTeX
Heiko Neumann, Petra Mössner: Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. 857-862 BibTeX
Fabio Vignoli, Sergio Curinga, Fabio Lavagetto: A Neural Clustering Algorithm for Estimating Visible Articulatory Trajectory. 863-868 BibTeX

Cognitive Science and AI

Pentti Kanerva: Binary Spatter-Coding of Ordered K-Tuples. 869-873 BibTeX
Christel Kemke: A Hybrid Approach to Natural Language Parsing. 875-880 BibTeX
Kay Behnke, Peter Wittenburg: A Self-Organizing Neural Network Approach for the Acquisition of Phonetic Categories. 881-886 BibTeX
Sylvie Wacquant, Frank Joublin: Inward Relearning: A Step Towards Long-Term Memory. 887-892 BibTeX
Jacques Ludik, Dan J. Stein: Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCD. 893-898 BibTeX
Edward Kei Shiu Ho, Lai-Wan Chan: Confluent Preorder Parser as Finite State Automata. 899-904 BibTeX
Thomas Crämer, Josef Göppert, Wolfgang Rosenstiel: Modeling Psychological Stereotypes in Self-Organizing Maps. 905-910 BibTeX