Neural Information Processing

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 Information-Theoretic Competitive Learning.- An Online Adaptation Control System Using mnSOM.- Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes.- SOM of SOMs: An Extension of SOM from ‘Map’ to ‘Homotopy’.- Modular Network SOM: Theory, Algorithm and Applications.- Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network.- Adaptively Incremental Self-organizing Isometric Embedding.- An Extended Model on Self-Organizing Map.- A New SOM Algorithm for Electricity Load Forecasting.- ART-Based Parallel Learning of Growing SOMs and Its Application to TSP.- Smooth Seamless Surface Construction Based on Conformal Self-organizing Map.- Consumer’s Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain.- Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map.- Independent Component Analysis and Blind Source Separation.- K-Hyperplanes Clustering and Its Application to Sparse Component Analysis.- Region of Interest Based Independent Component Analysis.- Variational Bayesian Method for Temporally Correlated Source Separation.- Newton-Like Methods for Nonparametric Independent Component Analysis.- A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network.- Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI.- Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold.- Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN Estimation.- Denoising by Anisotropic Diffusion of Independent Component Coefficients.- Blind Separation of Digital Signal Sources in Noise Circumstance.- Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations.- Erratum.- First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model.