Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selecte by Masumi IshikawaNeural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selecte by Masumi Ishikawa

Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan…

byMasumi IshikawaEditorKenji Doya, Hiroyuki Miyamoto

Paperback | June 16, 2008

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These two-volume books comprise the post-conference proceedings of the 14th International Conference on Neural Information Processing (ICONIP 2007) held in Kitakyushu, Japan, during November 13-16, 2007. The Asia Paci?c Neural Network Assembly (APNNA) was founded in 1993. The ?rst ICONIP was held in 1994 in Seoul, Korea, sponsored by APNNA in collaboration with regional organizations. Since then, ICONIP has consistently provided prestigious opp- tunities for presenting and exchanging ideas on neural networks and related ?elds. Research ?elds covered by ICONIP have now expanded to include such ?elds as bioinformatics, brain machine interfaces, robotics, and computational intelligence. We had 288 ordinary paper submissions and 3 special organized session p- posals. Although the quality of submitted papers on the average was excepti- ally high, only 60% of them were accepted after rigorous reviews, each paper being reviewed by three reviewers. Concerning special organized session prop- als, two out of three were accepted. In addition to ordinary submitted papers, we invited 15 special organized sessions organized by leading researchers in emerging ?elds to promote future expansion of neural information processing. ICONIP 2007 was held at the newly established Kitakyushu Science and Research Park in Kitakyushu, Japan. Its theme was "Towards an Integrated Approach to the Brain-Brain-Inspired Engineering and Brain Science," which emphasizes the need for cross-disciplinary approaches for understanding brain functions and utilizing the knowledge for contributions to the society. It was jointly sponsored by APNNA, Japanese Neural Network Society (JNNS), and the 21st century COE program at Kyushu Institute of Technology.
Title:Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan…Format:PaperbackDimensions:1147 pages, 23.5 × 15.5 × 0.07 inPublished:June 16, 2008Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540691545

ISBN - 13:9783540691549

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Table of Contents

Computational Neuroscience.- A Retinal Circuit Model Accounting for Functions of Amacrine Cells.- Global Bifurcation Analysis of a Pyramidal Cell Model of the Primary Visual Cortex: Towards a Construction of Physiologically Plausible Model.- Representation of Medial Axis from Synchronous Firing of Border-Ownership Selective Cells.- Neural Mechanism for Extracting Object Features Critical for Visual Categorization Task.- An Integrated Neuro-mechanical Model of C. elegans Forward Locomotion.- Applying the String Method to Extract Bursting Information from Microelectrode Recordings in Subthalamic Nucleus and Substantia Nigra.- Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC.- Spontaneous Voltage Transients in Mammalian Retinal Ganglion Cells Dissociated by Vibration.- Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons.- Firing Pattern Estimation of Biological Neuron Models by Adaptive Observer.- Thouless-Anderson-Palmer Equation for Associative Memory Neural Network Models with Fluctuating Couplings.- Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs.- A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG.- Reproducibility Analysis of Event-Related fMRI Experiments Using Laguerre Polynomials.- The Effects of Theta Burst Transcranial Magnetic Stimulation over the Human Primary Motor and Sensory Cortices on Cortico-Muscular Coherence.- Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering.- A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells.- Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor.- Corticopetal Acetylcholine: Possible Scenarios on the Role for Dynamic Organization of Quasi-Attractors.- Tracking a Moving Target Using Chaotic Dynamics in a Recurrent Neural 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.