Description
SPRINGER Artificial Neural Networks Icann 2008 Edition by VERA KURKOVA, ROMAN NERUDA, JAN KOUTNIK
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle. Pattern Recognition and Data Analysis.- Investigating Similarity of Ontology Instances and Its Causes.- A Neural Model for Delay Correction in a Distributed Control System.- A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasets.- Non-stationary Data Mining: The Network Security Issue.- Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products.- Extraction of Binary Features by Probabilistic Neural Networks.- Correlation Integral Decomposition for Classification.- Modified q-State Potts Model with Binarized Synaptic Coefficients.- Learning Similarity Measures from Pairwise Constraints with Neural Networks.- Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.- Mimicking Go Experts with Convolutional Neural Networks.- Associative Memories Applied to Pattern Recognition.- MLP-Based Detection of Targets in Clutter: Robustness with Respect to the Shape Parameter of Weibull-Disitributed Clutter.- Hardware, Embedded Systems.- Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab.- Embedded Neural Network for Swarm Learning of Physical Robots.- Distribution Stream of Tasks in Dual-Processor System.- Efficient Implementation of the THSOM Neural Network.- Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks.- Implementation of Central Pattern Generator in an FPGA-Based Embedded System.- Biologically-Inspired Digital Architecture for a Cortical Model of Orientation Selectivity.- Neural Network Training with Extended Kalman Filter Using Graphics Processing Unit.- Blind Source-Separation in Mixed-Signal VLSI Using the InfoMax Algorithm.- Computational Neuroscience.- Synaptic Rewiring for Topographic Map Formation.- Implementing Bayes' Rule with Neural Fields.- Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus.- A Bio-inspired Architecture of an Active Visual Search Model.- Implementing Fuzzy Reasoning on a Spiking Neural Network.- Short Term Plasticity Provides Temporal Filtering at Chemical Synapses.- Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm.- Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients.- Fast Multi-command SSVEP Brain Machine Interface without Training.- Separating Global Motion Components in Transparent Visual Stimuli - A Phenomenological Analysis.- Lateral Excitation between Dissimilar Orientation Columns for Ongoing Subthreshold Membrane Oscillations in Primary Visual Cortex.- A Computational Model of Cortico-Striato-Thalamic Circuits in Goal-Directed Behaviour.- Firing Pattern Estimation of Synaptically Coupled Hindmarsh-Rose Neurons by Adaptive Observer.- Global Oscillations of Neural Fields in CA3.- Connectionistic Cognitive Science.- Selective Attention Model of Moving Objects.- Tempotron-Like Learning with ReSuMe.- Neural Network Capable of Amodal Completion.- Predictive Coding in Cortical Microcircuits.- A Biologically Inspired Spiking Neural Network for Sound Localisation by the Inferior Colliculus.- Learning Structurally Analogous Tasks.- Auto-structure of Presynaptic Activity Defines Postsynaptic Firing Statistics and Can Modulate STDP-Based Structure Formation and Learning.- Decision Making Logic of Visual Brain.- A Computational Model of Saliency Map Read-Out during Visual Search.- A Corpus-Based Computational Model of Metaphor Understanding Incorporating Dynamic Interaction.- Deterministic Coincidence Detection and Adaptation Via Delayed Inputs.- Synaptic Formation Rate as a Control Parameter in a Model for the Ontogenesis of Retinotopy.- Neuroinformatics.- Fuzzy Symbolic Dynamics for Neurodynamical Systems.- Towards Personalized Neural Networks for Epileptic Seizure Prediction.- Real and Modeled Spike Trains: Where Do They Meet?.- The InfoPhase Method or How to Read Neurons with Neurons.- Artifact Processor for Neuronal Activity Analysis during Deep Brain Stimulation.- Analysis of Human Brain NMR Spectra in Vivo Using Artificial Neural Networks.- Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation.- KCMAC: A Novel Fuzzy Cerebellar Model for Medical Decision Support.- Decoding Population Neuronal Responses by Topological Clustering.- Neural Dynamics.- Learning of Neural Information Routing for Correspondence Finding.- A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis.- Analysis and Visualization of the Dynamics of Recurrent Neural Networks for Symbolic Sequences Processing.- Chaotic Search for Traveling Salesman Problems by Using 2-opt and Or-opt Algorithms.- Comparison of Neural Networks Incorporating Partial Monotonicity by Structure.- Special Session: Coupling, Synchronies and Firing Patterns: from Cognition to Disease.- Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection.- Assemblies as Phase-Locked Pattern Sets That Collectively Win the Competition for Coherence.- A CA2?+? Dynamics Model of the STDP Symmetry-to-Asymmetry Transition in the CA1 Pyramidal Cell of the Hippocampus.- Improving Associative Memory in a Network of Spiking Neurons.- Effect of Feedback Strength in Coupled Spiking Neural Networks.- Bifurcations in Discrete-Time Delayed Hopfield Neural Networks of Two Neurons.- EEG Switching: Three Views from Dynamical Systems.- Modeling Synchronization Loss in Large-Scale Brain Dynamics.- Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network.- Resonant Spike Propagation in Coupled Neurons with Subthreshold Activity.- Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex.- Special Session: Constructive Neural Networks.- Fuzzy Growing Hierarchical Self-Organizing Networks.- MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull.- On the Generalization of the m-Class RDP Neural Network.- A Constructive Technique Based on Linear Programming for Training Switching Neural Networks.- Projection Pursuit Constructive Neural Networks Based on Quality of Projected Clusters.- to Constructive and Optimization Aspects of SONN-3.- A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers.- A Brief Review and Comparison of Feedforward Morphological Neural Networks with Applications to Classification.- Prototype Proliferation in the Growing Neural Gas Algorithm.- Active Learning Using a Constructive Neural Network Algorithm.- M-CLANN: Multi-class Concept Lattice-Based Artificial Neural Network for Supervised Classification.- Workshop: New Trends in Self-organization and Optimization of Artificial Neural Networks.- A Classification Method of Children with Developmental Dysphasia Based on Disorder Speech Analysis.- Nature Inspired Methods in the Radial Basis Function Network Learning Process.- Tree-Based Indirect Encodings for Evolutionary Development of Neural Networks.- Generating Complex Connectivity Structures for Large-Scale Neural Models.- The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set.- Geometrical Perspective on Hairy Memory.- Neural Network Based BCI by Using Orthogonal Components of Multi-channel Brain Waves and Generalization.- Feature Ranking Derived from Data Mining Process.- A Neural Network Approach for Learning Object Ranking.- Evolving Efficient Connection for the Design of Artificial Neural Networks.- The Extreme Energy Ratio Criterion for EEG Feature Extraction.- Workshop: Adaptive Mechanisms of the Perception-Action Cycle.- The Schizophrenic Brain: A Broken Hermeneutic Circle.- Neural Model for the Visual Recognition of Goal-Directed Movements.- Emergent Common Functional Principles in Control Theory and the Vertebrate Brain: A Case Study with Autonomous Vehicle Control.- Organising the Complexity of Behaviour.- Towards a Neural Model of Mental Simulation.