Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 A Retinal Circuit Model Accounting for Functions of Amacrine Cells
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   Chapter 2 Global Bifurcation Analysis of a Pyramidal Cell Model of the Primary Visual Cortex: Towards a Construction of Physiologically Plausible Model
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   Chapter 3 Representation of Medial Axis from Synchronous Firing of Border-Ownership Selective Cells
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   Chapter 4 Neural Mechanism for Extracting Object Features Critical for Visual Categorization Task
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   Chapter 5 An Integrated Neuro-mechanical Model of C. elegans Forward Locomotion
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   Chapter 6 Applying the String Method to Extract Bursting Information from Microelectrode Recordings in Subthalamic Nucleus and Substantia Nigra
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   Chapter 7 Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC
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   Chapter 8 Spontaneous Voltage Transients in Mammalian Retinal Ganglion Cells Dissociated by Vibration
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    Chapter 9 Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons
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    Chapter 10 Firing Pattern Estimation of Biological Neuron Models by Adaptive Observer
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    Chapter 11 Thouless-Anderson-Palmer Equation for Associative Memory Neural Network Models with Fluctuating Couplings
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    Chapter 12 Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs
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    Chapter 13 A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer’s Disease Based on EEG
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    Chapter 14 Reproducibility Analysis of Event-Related fMRI Experiments Using Laguerre Polynomials
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    Chapter 15 The Effects of Theta Burst Transcranial Magnetic Stimulation over the Human Primary Motor and Sensory Cortices on Cortico-Muscular Coherence
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    Chapter 16 Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering
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    Chapter 17 A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells
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    Chapter 18 Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor
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    Chapter 19 Corticopetal Acetylcholine: Possible Scenarios on the Role for Dynamic Organization of Quasi-Attractors
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    Chapter 20 Tracking a Moving Target Using Chaotic Dynamics in a Recurrent Neural Network Model
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    Chapter 21 A Generalised Entropy Based Associative Model
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    Chapter 22 The Detection of an Approaching Sound Source Using Pulsed Neural Network
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    Chapter 23 Sensitivity and Uniformity in Detecting Motion Artifacts
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    Chapter 24 A Ring Model for the Development of Simple Cells in the Visual Cortex
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    Chapter 25 Practical Recurrent Learning (PRL) in the Discrete Time Domain
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    Chapter 26 Learning of Bayesian Discriminant Functions by a Layered Neural Network
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    Chapter 27 RNN with a Recurrent Output Layer for Learning of Naturalness
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    Chapter 28 Using Generalization Error Bounds to Train the Set Covering Machine
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    Chapter 29 Model of Cue Extraction from Distractors by Active Recall
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    Chapter 30 PLS Mixture Model for Online Dimension Reduction
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    Chapter 31 Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise
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    Chapter 32 Fuzzy ARTMAP with Explicit and Implicit Weights
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    Chapter 33 Neural Network Model of Forward Shift of CA1 Place Fields Towards Reward Location
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    Chapter 34 A New Constructive Algorithm for Designing and Training Artificial Neural Networks
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    Chapter 35 Effective Learning with Heterogeneous Neural Networks
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    Chapter 36 Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic
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    Chapter 37 Effect of Spatial Attention in Early Vision for the Modulation of the Perception of Border-Ownership
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    Chapter 38 Effectiveness of Scale Free Network to the Performance Improvement of a Morphological Associative Memory without a Kernel Image
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    Chapter 39 Intensity Gradient Self-organizing Map for Cerebral Cortex Reconstruction
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    Chapter 40 Feature Subset Selection Using Constructive Neural Nets with Minimal Computation by Measuring Contribution
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    Chapter 41 Dynamic Link Matching between Feature Columns for Different Scale and Orientation
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    Chapter 42 Perturbational Neural Networks for Incremental Learning in Virtual Learning System
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    Chapter 43 Bifurcations of Renormalization Dynamics in Self-organizing Neural Networks
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    Chapter 44 Variable Selection for Multivariate Time Series Prediction with Neural Networks
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    Chapter 45 Ordering Process of Self-Organizing Maps Improved by Asymmetric Neighborhood Function
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    Chapter 46 A Characterization of Simple Recurrent Neural Networks with Two Hidden Units as a Language Recognizer
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    Chapter 47 Unbiased Likelihood Backpropagation Learning
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    Chapter 48 The Local True Weight Decay Recursive Least Square Algorithm
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    Chapter 49 Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift
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    Chapter 50 Using Image Stimuli to Drive fMRI Analysis
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    Chapter 51 Parallel Reinforcement Learning for Weighted Multi-criteria Model with Adaptive Margin
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    Chapter 52 Convergence Behavior of Competitive Repetition-Suppression Clustering
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    Chapter 53 Self-Organizing Clustering with Map of Nonlinear Varieties Representing Variation in One Class
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    Chapter 54 An Automatic Speaker Recognition System
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    Chapter 55 Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis
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    Chapter 56 Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise
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    Chapter 57 A Subspace Method Based on Data Generation Model with Class Information
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    Chapter 58 Hierarchical Feature Extraction for Compact Representation and Classification of Datasets
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    Chapter 59 Principal Component Analysis for Sparse High-Dimensional Data
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    Chapter 60 Hierarchical Bayesian Inference of Brain Activity
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    Chapter 61 Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models
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    Chapter 62 Estimating Internal Variables of a Decision Maker’s Brain: A Model-Based Approach for Neuroscience
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    Chapter 63 Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions
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    Chapter 64 Bayesian System Identification of Molecular Cascades
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    Chapter 65 Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification
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    Chapter 66 Extraction of Approximate Independent Components from Large Natural Scenes
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    Chapter 67 Local Coordinates Alignment and Its Linearization
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    Chapter 68 Walking Appearance Manifolds without Falling Off
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    Chapter 69 Inverse-Halftoning for Error Diffusion Based on Statistical Mechanics of the Spin System
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    Chapter 70 Chaotic Motif Sampler for Motif Discovery Using Statistical Values of Spike Time-Series
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    Chapter 71 A Thermodynamical Search Algorithm for Feature Subset Selection
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    Chapter 72 Solvable Performances of Optimization Neural Networks with Chaotic Noise and Stochastic Noise with Negative Autocorrelation
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    Chapter 73 Solving the k -Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks
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    Chapter 74 Optimization of Parametric Companding Function for an Efficient Coding
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    Chapter 75 A Modified Soft-Shape-Context ICP Registration System of 3-D Point Data
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    Chapter 76 Solution Method Using Correlated Noise for TSP
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    Chapter 77 Bayesian Collaborative Predictors for General User Modeling Tasks
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    Chapter 78 Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
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    Chapter 79 Efficient Incremental Learning Using Self-Organizing Neural Grove
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    Chapter 80 Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning
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    Chapter 81 Sparse Super Symmetric Tensor Factorization
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    Chapter 82 Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria
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    Chapter 83 Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow
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    Chapter 84 Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation
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    Chapter 85 Appearance Models for Medical Volumes with Few Samples by Generalized 3D-PCA
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    Chapter 86 Head Pose Estimation Based on Tensor Factorization
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    Chapter 87 Kernel Maximum a Posteriori Classification with Error Bound Analysis
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    Chapter 88 Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification
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    Chapter 89 Pattern Discovery for High-Dimensional Binary Datasets
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    Chapter 90 Expand-and-Reduce Algorithm of Particle Swarm Optimization
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    Chapter 91 Nonlinear Pattern Identification by Multi-layered GMDH-Type Neural Network Self-selecting Optimum Neural Network Architecture
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    Chapter 92 Coordinated Control of Reaching and Grasping During Prehension Movement
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    Chapter 93 Computer Simulation of Vestibuloocular Reflex Motor Learning Using a Realistic Cerebellar Cortical Neuronal Network Model
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    Chapter 94 Reflex Contributions to the Directional Tuning of Arm Stiffness
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    Chapter 95 Analysis of Variability of Human Reaching Movements Based on the Similarity Preservation of Arm Trajectories
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    Chapter 96 Directional Properties of Human Hand Force Perception in the Maintenance of Arm Posture
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    Chapter 97 Computational Understanding and Modeling of Filling-In Process at the Blind Spot
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    Chapter 98 Biologically Motivated Face Selective Attention Model
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     Chapter 99 Multi-dimensional Histogram-Based Image Segmentation
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     Chapter 100 A Framework for Multi-view Gender Classification
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     Chapter 101 Japanese Hand Sign Recognition System
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     Chapter 102 An Image Warping Method for Temporal Subtraction Images Employing Smoothing of Shift Vectors on MDCT Images
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     Chapter 103 Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements
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     Chapter 104 An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position
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     Chapter 105 Independence of Perception and Action for Grasping Positions
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     Chapter 106 Handwritten Character Distinction Method Inspired by Human Vision Mechanism
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     Chapter 107 Recent Advances in the Neocognitron
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     Chapter 108 Engineering-Approach Accelerates Computational Understanding of V1–V2 Neural Properties
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     Chapter 109 Recent Studies Around the Neocognitron
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     Chapter 110 Toward Human Arm Attention and Recognition
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     Chapter 111 Projection-Field-Type VLSI Convolutional Neural Networks Using Merged/Mixed Analog-Digital Approach
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     Chapter 112 Optimality of Reaching Movements Based on Energetic Cost under the Influence of Signal-Dependent Noise
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     Chapter 113 Influence of Neural Delay in Sensorimotor Systems on the Control Performance and Mechanism in Bicycle Riding
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     Chapter 114 Global Localization for the Mobile Robot Based on Natural Number Recognition in Corridor Environment
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     Chapter 115 A System Model for Real-Time Sensorimotor Processing in Brain
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     Chapter 116 Perception of Two-Stroke Apparent Motion and Real Motion