Neural Information Processing

Network Model.- A Generalised Entropy Based Associative Model.- The Detection of an Approaching Sound Source Using Pulsed Neural Network.- Sensitivity and Uniformity in Detecting Motion Artifacts.- A Ring Model for the Development of Simple Cells in the Visual Cortex.- Learning and Memory.- Practical Recurrent Learning (PRL) in the Discrete Time Domain.- Learning of Bayesian Discriminant Functions by a Layered Neural Network.- RNN with a Recurrent Output Layer for Learning of Naturalness.- Using Generalization Error Bounds to Train the Set Covering Machine.- Model of Cue Extraction from Distractors by Active Recall.- PLS Mixture Model for Online Dimension Reduction.- Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise.- Fuzzy ARTMAP with Explicit and Implicit Weights.- Neural Network Model of Forward Shift of CA1 Place Fields Towards Reward Location.- Neural Network Models.- A New Constructive Algorithm for Designing and Training Artificial Neural Networks.- Effective Learning with Heterogeneous Neural Networks.- Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic.- Effect of Spatial Attention in Early Vision for the Modulation of the Perception of Border-Ownership.- Effectiveness of Scale Free Network to the Performance Improvement of a Morphological Associative Memory without a Kernel Image.- Intensity Gradient Self-organizing Map for Cerebral Cortex Reconstruction.- Feature Subset Selection Using Constructive Neural Nets with Minimal Computation by Measuring Contribution.- Dynamic Link Matching between Feature Columns for Different Scale and Orientation.- Perturbational Neural Networks for Incremental Learning in Virtual Learning System.- Bifurcations of Renormalization Dynamics in Self-organizing Neural Networks.- Variable Selection for Multivariate Time Series Prediction with Neural Networks.- Ordering Process of Self-Organizing Maps Improved by Asymmetric Neighborhood Function.- A Characterization of Simple Recurrent Neural Networks with Two Hidden Units as a Language Recognizer.- Supervised/Unsupervised/Reinforcement Learning.- Unbiased Likelihood Backpropagation Learning.- The Local True Weight Decay Recursive Least Square Algorithm.- Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift.- Using Image Stimuli to Drive fMRI Analysis.- Parallel Reinforcement Learning for Weighted Multi-criteria Model with Adaptive Margin.- Convergence Behavior of Competitive Repetition-Suppression Clustering.- Self-Organizing Clustering with Map of Nonlinear Varieties Representing Variation in One Class.- An Automatic Speaker Recognition System.- Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis.- Statistical Learning Algorithms.- Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise.- A Subspace Method Based on Data Generation Model with Class Information.- Hierarchical Feature Extraction for Compact Representation and Classification of Datasets.- Principal Component Analysis for Sparse High-Dimensional Data.- Hierarchical Bayesian Inference of Brain Activity.- Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.- Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience.- Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.- Bayesian System Identification of Molecular Cascades.- Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification.- Extraction of Approximate Independent Components from Large Natural Scenes.- Local Coordinates Alignment and Its Linearization.- Walking Appearance Manifolds without Falling Off.- Inverse-Halftoning for Error Diffusion Based on Statistical Mechanics of the Spin System.- Optimization Algorithms.- Chaotic Motif Sampler for Motif Discovery Using Statistical Values of Spike Time-Series.- A Thermodynamical Search Algorithm for Feature Subset Selection.- Solvable Performances of Optimization Neural Networks with Chaotic Noise and Stochastic Noise with Negative Autocorrelation.- Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks.- Optimization of Parametric Companding Function for an Efficient Coding.- A Modified Soft-Shape-Context ICP Registration System of 3-D Point Data.- Solution Method Using Correlated Noise for TSP.- Novel Algorithms.- Bayesian Collaborative Predictors for General User Modeling Tasks.- Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes.- Efficient Incremental Learning Using Self-Organizing Neural Grove.- Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning.- Sparse Super Symmetric Tensor Factorization.- Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.- Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow.- Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation.- Appearance Models for Medical Volumes with Few Samples by Generalized 3D-PCA.- Head Pose Estimation Based on Tensor Factorization.- Kernel Maximum a Posteriori Classification with Error Bound Analysis.- Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification.- Pattern Discovery for High-Dimensional Binary Datasets.- Expand-and-Reduce Algorithm of Particle Swarm Optimization.- Nonlinear Pattern Identification by Multi-layered GMDH-Type Neural Network Self-selecting Optimum Neural Network Architecture.- Motor Control and Vision.- Coordinated Control of Reaching and Grasping During Prehension Movement.- Computer Simulation of Vestibuloocular Reflex Motor Learning Using a Realistic Cerebellar Cortical Neuronal Network Model.- Reflex Contributions to the Directional Tuning of Arm Stiffness.- Analysis of Variability of Human Reaching Movements Based on the Similarity Preservation of Arm Trajectories.- Directional Properties of Human Hand Force Perception in the Maintenance of Arm Posture.- Computational Understanding and Modeling of Filling-In Process at the Blind Spot.- Biologically Motivated Face Selective Attention Model.- Multi-dimensional Histogram-Based Image Segmentation.- A Framework for Multi-view Gender Classification.- Japanese Hand Sign Recognition System.- An Image Warping Method for Temporal Subtraction Images Employing Smoothing of Shift Vectors on MDCT Images.- Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements.- An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position.- Independence of Perception and Action for Grasping Positions.- Handwritten Character Distinction Method Inspired by Human Vision Mechanism.- Recent Advances in the Neocognitron.- Engineering-Approach Accelerates Computational Understanding of V1-V2 Neural Properties.- Recent Studies Around the Neocognitron.- Toward Human Arm Attention and Recognition.- Projection-Field-Type VLSI Convolutional Neural Networks Using Merged/Mixed Analog-Digital Approach.- Optimality of Reaching Movements Based on Energetic Cost under the Influence of Signal-Dependent Noise.- Influence of Neural Delay in Sensorimotor Systems on the Control Performance and Mechanism in Bicycle Riding.- Global Localization for the Mobile Robot Based on Natural Number Recognition in Corridor Environment.- A System Model for Real-Time Sensorimotor Processing in Brain.- Perception of Two-Stroke Apparent Motion and Real Motion.