The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28- 30, 2002 at the Escuela T ecnica Superior de Inform atica of the Universidad Aut onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year's ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference.
Inhalt
Computational Neuroscience.- A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data.- A Neural Model of Spatio Temporal Coordination in Prehension.- Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback.- Learning Multiple Feature Representations from Natural Image Sequences.- Analysis of Biologically Inspired Small-World Networks.- Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video.- Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks.- Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse.- Storage Capacity of Kernel Associative Memories.- Macrocolumns as Decision Units.- Nonlinear Analysis of Simple Cell Tuning in Visual Cortex.- Clustering within Integrate-and-Fire Neurons for Image Segmentation.- Symmetry Detection Using Global-Locally Coupled Maps.- Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.- Combining Multimodal Sensory Input for Spatial Learning.- A Neural Network Model Generating Invariance for Visual Distance.- Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG.- Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques.- Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays.- Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons.- Reducing Communication for Distributed Learning in Neural Networks.- Flow Diagrams of the Quadratic Neural Network.- Dynamics of a Plastic Cortical Network.- Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron.- Small-World Effects in Lattice Stochastic Diffusion Search.- A Direction Sensitive Network Based on a Biophysical Neurone Model.- Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis.- Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis.- Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory.- Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations.- Does Morphology Influence Temporal Plasticity?.- Attractor Neural Networks with Hypercolumns.- Edge Detection and Motion Discrimination in the Cuneate Nucleus.- Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks.- Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.- A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform.- Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input.- Iterative Population Decoding Based on Prior Beliefs.- When NMDA Receptor Conductances Increase Inter- spike Interval Variability.- Spike- Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity.- A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy.- On the Computational Power of Neural Microcircuit Models: Pointers to the Literature.- Connectionist Cognitive Science.- Networking with Cognitive Packets.- Episodic Memory: A Connectionist Interpretation.- Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach.- Associative Arithmetic with Boltzmann Machines: The Role of Number Representations.- Learning the Long-Term Structure of the Blues.- Recursive Neural Networks Applied to Discourse Representation Theory.- Recurrent Neural Learning for Helpdesk Call Routing.- An Approach to Encode Multilayer Perceptrons.- Dynamic Knowledge Representation in Connectionist Systems.- Generative Capacities of Cellular Automata Codification for Evolution of NN Codification.- Data Analysis and Pattern Recognition.- Entropic Measures with Radial Basis Units.- New Methods for Splice Site Recognition.- A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks.- Identification of Wiener Model Using Radial Basis Functions Neural Networks.- A New Learning Algorithm for Mean Field Boltzmann Machines.- A Continuous Restricted Boltzmann Machine with a Hardware- Amenable Learning Algorithm.- Human Recognition by Gait Analysis Using Neural Networks.- Learning Vector Quantization for Multimodal Data.- Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities.- Model Clustering for Neural Network Ensembles.- Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?.- Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network.- A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data.- Neural Minimax Classifiers.- Sampling Parameters to Estimate a Mixture Distribution with Unknown Size.- Selecting Neural Networks for Making a Committee Decision.- High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning.- Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling.- A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-fuzzy System for Online Handwriting Recognition.- A New Learning Method for Piecewise Linear Regression.- Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems.- Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.- Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network.- MDL Based Model Selection for Relevance Vector Regression.- On the Training of a Kolmogorov Network.- A New Method of Feature Extraction and Its Stability.- Visualization and Analysis of Web Navigation Data.- Missing Value Estimation Using Mixture of PCAs.- High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas.- Heterogeneous Forests of Decision Trees.- Independent Component Analysis for Domain Independent Watermarking.- Applying Machine Learning to Solve an Estimation Problem in Software Inspections.- Clustering of Gene Expression Data by Mixture of PCA Models.- Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.- A New Sequential Algorithm for Regression Problems by Using Mixture Distribution.- Neural-Based Classification of Blocks from Documents.- Feature Selection via Genetic Optimization.- Neural Networks, Clustering Techniques, and Function Approximation Problems.- Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.- Using Recurrent Neural Networks for Automatic Chromosome Classification.- A Mixed Ensemble Approach for the Semi-supervised Problem.- Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes.- Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error.- SSA, SVD, QR-cp, …