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Computer Science - Communication Networks | Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Auckland,

Advances in Neuro-Information Processing

15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I

Koeppen, Mario, Kasabov, Nikola, Coghill, George (Eds.)

2009, LXXVI, 1257 p.

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The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008.

The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.

Content Level » Research

Keywords » Markov Model - Monte Carlo - Sage - artificial neural networks - bioinformatics - brain modeling - classification - intelligent information systems - model - modeling - neurocomputers - neuroscience - pattern recognition - quantum computation - topology

Related subjects » Artificial Intelligence - Communication Networks - Information Systems and Applications - Theoretical Computer Science

Table of contents 

INNS Symposium “New Directions in Neural Networks”.- Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework.- A Spiking Network of Hippocampal Model Including Neurogenesis.- NeuroEvolution Based on Reusable and Hierarchical Modular Representation.- A Common-Neural-Pattern Based Reasoning for Mobile Robot Cognitive Mapping.- Identifying Emotions Using Topographic Conditioning Maps.- A Gene Regulatory Model for the Development of Primitive Nervous Systems.- Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing.- Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots.- Coding Mechanisms in Hippocampal Networks for Learning and Memory.- Developmental Stereo: Topographic Iconic-Abstract Map from Top-Down Connection.- An Analysis of Synaptic Transmission and its Plasticity by Glutamate Receptor Channel Kinetics Models and 2-Photon Laser Photolysis.- A Biologically Inspired Neural CPG for Sea Wave Conditions/Frequencies.- Feature Subset Selection Using Differential Evolution.- Topology of Brain Functional Networks: Towards the Role of Genes.- Hybrid Design Principles and Time Constants in the Construction of Brain-Based Robotics: A Real-Time Simulator of Oscillatory Neural Networks Interacting with the Real Environment via Robotic Devices.- Neurodynamics.- First Spiking Dynamics of Stochastic Neuronal Model with Optimal Control.- BCM and Membrane Potential: Alternative Ways to Timing Dependent Plasticity.- A Novel Hybrid Spiking Neuron: Response Analysis and Learning Potential.- Event-Related Desynchronisation/Synchronisation of Spontaneous Motor Actions.- Competition between Synapses Located in Proximal and Distal Dendrites of the Dentate Granule Cell through STDP.- An Analysis of the Autonomic Cardiac Activity by Reducing the Interplay between Sympathetic and Parasympathetic Information.- On Similarity Measures for Spike Trains.- Relationship between an Input Sequence and Asymmetric Connections Formed by Theta Phase Precession and STDP.- Analysis of Microelectrographic Neuronal Background in Deep Brain Nuclei in Parkinson Disease.- Gating Echo State Neural Networks for Time Series Forecasting.- A Novel Artificial Model of Spiral Ganglion Cell and Its Spike-Based Encoding Function.- Evolution of Neural Organization in a Hydra-Like Animat.- Improved Sparse Bump Modeling for Electrophysiological Data.- Classify Event-Related Motor Potentials of Cued Motor Actions.- A Neural Network Based Hierarchical Motor Schema of a Multi-finger Hand and Its Motion Diversity.- Cognitive Neuroscience.- Biological Plausibility of Spectral Domain Approach for Spatiotemporal Visual Saliency.- A “Global Closure” Effect in Contour Integration.- Modeling of Associative Dynamics in Hippocampal Contributions to Heuristic Decision Making.- Tracking with Depth-from-Size.- Training Recurrent Connectionist Models on Symbolic Time Series.- Computational Modeling of Risk–Related Eye Movement of Car Drivers.- Robust Detection of Medial-Axis by Onset Synchronization of Border-Ownership Selective Cells and Shape Reconstruction from Its Medial-Axis.- Synaptic Cooperation and Competition in STDP Learning Rule.- An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony.- Towards a Comparative Theory of the Primates’ Tool-Use Behavior.- Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources.- Significance for Hippocampal Memory of Context-Like Information Generated in Hippocampal CA3c.- Bio-signal Integration for Humanoid Operation: Gesture and Brain Signal Recognition by HMM/SVM-Embedded BN.- Interpreting Dopamine Activities in Stochastic Reward Tasks.- Epileptogenic ECoG Monitoring and Brain Stimulation Using a Multifunctional Microprobe for Minimally Invasive Brain Microsurgery.- Generalization in Linguistic Category Formation Based on the Prototype Effect.- Model of the Activity of Hippocampal Neurons Based on the Theory of Selective Desensitization.- EEG-Based Classification of Brain Activity for Brightness Stimuli.- Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz).- Using Optimality to Predict Photoreceptor Distribution in the Retina.- Optical Imaging of Plastic Changes Induced by Fear Conditioning in the Auditory Cortex of Guinea Pig.- Possibility of Cantor Coding by Spatial Input Patterns.- A Neural Network Model for a Hierarchical Spatio-temporal Memory.- Time-Varying Synchronization of Visual ERP during Sentences Identification.- Neural Mechanism of Synchronous Firing of Inferior Temporal Cortex in Face Perception.- Bioinformatics.- Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation.- Consensus Clustering Using Spectral Theory.- On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration.- MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection.- Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data.- FES Position Control of Forearm Using EOG.- Reduction of FPs for Lung Nodules in MDCT by Use of Temporal Subtraction with Voxel-Matching Technique.- Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting.- An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information.- A Hybrid Model for Prediction of Peptide Binding to MHC Molecules.- Special Session: Data Mining Methods for Cybersecurity.- An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites.- Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly.- Faster Parameter Detection of Polymorphic Viral Code Using Hot List Strategy.- G-Means: A Clustering Algorithm for Intrusion Detection.- Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning.- An Incident Analysis System NICTER and Its Analysis Engines Based on Data Mining Techniques.- Multi-layered Hand and Face Tracking for Real-Time Gesture Recognition.- Towards a Reliable Evaluation Framework for Message Authentication in Web-Based Transactions Based on an Improved Computational Intelligence and Dynamical Systems Methodology.- Special Session: Computational Models and Their Applications in Machine Learning and Pattern Recognition.- A Neuro-GA Approach for the Maximum Fuzzy Clique Problem.- Hybrid Feature Selection: Combining Fisher Criterion and Mutual Information for Efficient Feature Selection.- Sensibility-Aware Image Retrieval Using Computationally Learned Bases: RIM, JPG, J2K, and Their Mixtures.- An Analysis of Generalization Error in Relevant Subtask Learning.- Intelligent Automated Guided Vehicle with Reverse Strategy: A Comparison Study.- Neural Networks for Optimal Form Design of Personal Digital Assistants.- Firing Rate Estimation Using an Approximate Bayesian Method.- Sampling Curve Images to Find Similarities among Parts of Images.- Improving the State Space Organization of Untrained Recurrent Networks.- Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models.- Experimental Study of Ergodic Learning Curve in Hidden Markov Models.- Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models.- Image Filling-In: A Gestalt Approach.- Sports Video Segmentation Using a Hierarchical Hidden CRF.- Learning Manifolds for Bankruptcy Analysis.- Information Geometry of Interspike Intervals in Spiking Neurons with Refractories.- Convolutive Blind Speech Separation by Decorrelation.- Special Session: Recent Advances in Brain-Inspired Technologies for Robotics.- Cognitive Representation and Bayeisan Model of Spatial Object Contexts for Robot Localization.- Learning of Action Generation from Raw Camera Images in a Real-World-Like Environment by Simple Coupling of Reinforcement Learning and a Neural Network.- Brain-Inspired Emergence of Behaviors Based on the Desire for Existence by Reinforcement Learning.- A Neural Network Based Controller for an Outdoor Mobile Robot.- Depth Perception Using a Monocular Vision System.- Trajectory Planning with Dynamics Constraints for an Underactuated Manipulator.- Neural Networks That Mimic the Human Brain: Turing Machines versus Machines That Generate Conscious Sensations.- Special Session: Lifelong Incremental Learning for Intelligent Systems.- A Vector Quantization Approach for Life-Long Learning of Categories.- An Integrated System for Incremental Learning of Multiple Visual Categories.- A Neural Network Model for Sequential Multitask Pattern Recognition Problems.- Automatic Discovery of Subgoals in Reinforcement Learning Using Strongly Connected Components.- Special Session: Dynamics of Neural Networks.- Bifurcation and Windows in a Simple Piecewise Linear Chaotic Spiking Neuron.- Bifurcation between Superstable Periodic Orbits and Chaos in a Simple Spiking Circuit.- Application of Higher Order Neural Network Dynamics to Distributed Radio Resource Usage Optimization of Cognitive Wireless Networks.- Synchronized Rhythmic Signals Effectively Influence Ongoing Cortical Activity for Decision-Making: A Study of the Biological Plausible Neural Network Model.- Synchronization Transition in a Pair of Coupled Non-identical Oscillators.- Parameter Analysis for Removing the Local Minima of Combinatorial Optimization Problems by Using the Inverse Function Delayed Neural Network.- Fractional-Order Hopfield Neural Networks.- Special Session: Applications of Intelligent Methods in Ecological Informatics.- Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks.- Predicting the Distribution of Fungal Crop Diseases from Abiotic and Biotic Factors Using Multi-Layer Perceptrons.- Using Time Lagged Input Data to Improve Prediction of Stinging Jellyfish Occurrence at New Zealand Beaches by Multi-Layer Perceptrons.- Modelling Climate Change Effects on Wine Quality Based on Expert Opinions Expressed in Free-Text Format: The WEBSOM Approach.- Special Session: Pattern Recognition from Real-World Information by SVM and Other Sophisticated Techniques.- A Support Vector Machine with Forgetting Factor and Its Statistical Properties.- Improved Parameter Tuning Algorithms for Fuzzy Classifiers.- Accelerated Classifier Training Using the PSL Cascading Structure.- Imitation Learning from Unsegmented Human Motion Using Switching Autoregressive Model and Singular Vector Decomposition.- Vision Based Mobile Robot for Indoor Environmental Security.- Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins.- Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model.- Prediction of the O-Glycosylation by Support Vector Machines and Semi-supervised Learning.- Practical Approach to Outlier Detection Using Support Vector Regression.- A Variant of Adaptive Mean Shift-Based Clustering.- Special Session: Neural Information Processing in Cooperative Multi-robot Systems.- Using Spiking Neural Networks for the Generation of Coordinated Action Sequences in Robots.- Neuro-Evolutive System for Ego-Motion Estimation with a 3D Camera.- Neuro Granular Networks with Self-learning Stochastic Connections: Fusion of Neuro Granular Networks and Learning Automata Theory.- An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems.- Towards the Adaptive Control of a Multirobot System for an Elastic Hose.- Economical Implementation of Control Loops for Multi-robot Systems.- WORKSHOP: Hybrid and Adaptive Systems for Real-Time Robotics Vision and Control.- An Improved Modular Neural Network Model for Adaptive Trajectory Tracking Control of Robot Manipulators.- Variable Colour Depth Look-Up Table Based on Fuzzy Colour Processing.- Towards a Generalised Hybrid Path-Planning and Motion Control System with Auto-calibration for Animated Characters in 3D Environments.- Cultivated Microorganisms Control a Real Robot: A Model of Dynamical Coupling between Internal Growth and Robot Movement.- Stream Processing of Geometric and Central Moments Using High Precision Summed Area Tables.- Bayesian Fusion of Auditory and Visual Spatial Cues during Fixation and Saccade in Humanoid Robot.- Solving the Online SLAM Problem with an Omnidirectional Vision System.- WORKSHOP: Neurocomputing and Evolving Intelligence – NCEI 2008.- A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining.- FPGA Implementation of an Evolving Spiking Neural Network.- HyFIS-Yager-gDIC: A Self-organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference.- Parallel Ant Colony Optimizer Based on Adaptive Resonance Theory Maps.- Covariate Shift and Incremental Learning.- A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems.- Soft Sensor Based on Adaptive Local Learning.- Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms.- RBF NN Based Adaptive PI Control of Brushless DC Motor.- Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio.- Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach.- Frost Prediction Characteristics and Classification Using Computational Neural Networks.- Personalized Modeling Based Gene Selection for Microarray Data Analysis.- Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network.- Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement.- Dynamic Neural Fuzzy Inference System.

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