Neural Information Processing

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.

Inhalt

Neurobiological Modeling and Analysis.- How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus.- Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network.- BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold.- A New Method for Multiple Spike Train Analysis Based on Information Discrepancy.- Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks.- Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns.- Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus.- Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study.- Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 Area.- Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell.- Modeling of LTP-Related Phenomena Using an Artificial Firing Cell.- Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential.- An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic Sensors.- Cognitive Processing.- Sequence Disambiguation by Functionally Divided Hippocampal CA3 Model.- A Time-Dependent Model of Information Capacity of Visual Attention.- Learning with Incrementality.- Lability of Reactivated Human Declarative Memory.- A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning.- A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models.- Functional Connectivity in the Resting Brain: An Analysis Based on ICA.- Semantic Addressable Encoding.- Top-Down Attention Guided Object Detection.- Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC Method.- Learning in Neural Network - Unusual Effects of "Artificial Dreams".- Spatial Attention in Early Vision Alternates Direction-of-Figure.- Language Learnability by Feedback Self-Organizing Maps.- Text Representation by a Computational Model of Reading.- Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time Study.- Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl.- Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat.- A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control.- Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression.- Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity.- Intelligent System for Automatic Recognition and Evaluation of Speech Commands.- A New Mechanism on Brain Information Processing-Energy Coding.- Mathematical Modeling and Analysis.- A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques.- First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model.- Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay.- Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks.- Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach.- Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis.- Turbo Decoding as an Instance of Expectation Maximization Algorithm.- Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side.- Reinforcement Learning Algorithm with CTRNN in Continuous Action Space.- Entropy Based Associative Model.- Free Energy of Stochastic Context Free Grammar on Variational Bayes.- Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines.- Improving VG-RAM Neural Networks Performance Using Knowledge Correlation.- The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory.- Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant.- Self-organized Path Constraint Neural Network: Structure and Algorithm.- Gauss Wavelet Chaotic Neural Networks.- Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms.- A Cooperation Online Reinforcement Learning Approach in Ant-Q.- Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition.- A Soft Computing Based Approach for Modeling of Chaotic Time Series.- Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model.- Prediction Error of a Fault Tolerant Neural Network.- Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks.- The Perfect Recalling Rate of Morphological Associative Memory.- Analysis of Dynamics of Cultured Neuronal Networks Using I & F Model.- Convergence Study of Discrete Neural Networks with Delay.- Convergence of Batch BP Algorithm with Penalty for FNN Training.- New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays.- Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays.- Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions.- Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed Delays.- Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network.- Learning Algorithms.- Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture.- Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons.- A Fast Bit-Parallel Algorithm for Gapped String Kernels.- A RBFN Based Cogging Force Estimator of PMLSM with qse Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem.- Support Vector Machines.- A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.- Feature Selection Using SVM Probabilistic Outputs.- Unified Kernel Function and Its Training Method for SVM.- A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification.- Speeding Up SVM in Test Phase: Application to Radar HRRP ATR.- A New Dual ?-Support Vector Machine.- A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.- EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems.- A Improved SVM and Its Using in Electric Power System Load Forecasting.- Support Vector Machine Tree Based on Feature Selection.- A Competitive Co-evolving Support Vector Clustering.- Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector Machine.- Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator.- A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction.- Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines.- Self-Organizing Map.- Self-Organizing Map with Input Data Represented as Graph.- Semi-supervised Learning of Dynamic Self-Organising Maps.- Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Infor…