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Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers. Part I

معرفی کتاب «Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers. Part I» نوشتهٔ Murat Saglam, Yuki Hayashida, Nobuki Murayama (auth.), Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Annotation The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches Front Matter....Pages - A Retinal Circuit Model Accounting for Functions of Amacrine Cells....Pages 1-6 Global Bifurcation Analysis of a Pyramidal Cell Model of the Primary Visual Cortex: Towards a Construction of Physiologically Plausible Model....Pages 7-17 Representation of Medial Axis from Synchronous Firing of Border-Ownership Selective Cells....Pages 18-26 Neural Mechanism for Extracting Object Features Critical for Visual Categorization Task....Pages 27-36 An Integrated Neuro-mechanical Model of C. elegans Forward Locomotion....Pages 37-47 Applying the String Method to Extract Bursting Information from Microelectrode Recordings in Subthalamic Nucleus and Substantia Nigra....Pages 48-53 Population Coding of Song Element Sequence in the Songbird Brain Nucleus HVC....Pages 54-63 Spontaneous Voltage Transients in Mammalian Retinal Ganglion Cells Dissociated by Vibration....Pages 64-72 Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons....Pages 73-82 Firing Pattern Estimation of Biological Neuron Models by Adaptive Observer....Pages 83-92 Thouless-Anderson-Palmer Equation for Associative Memory Neural Network Models with Fluctuating Couplings....Pages 93-101 Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs....Pages 102-111 A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer’s Disease Based on EEG....Pages 112-125 Reproducibility Analysis of Event-Related fMRI Experiments Using Laguerre Polynomials....Pages 126-134 The Effects of Theta Burst Transcranial Magnetic Stimulation over the Human Primary Motor and Sensory Cortices on Cortico-Muscular Coherence....Pages 135-141 Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering....Pages 142-150 A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells....Pages 151-159 Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor....Pages 160-169 Corticopetal Acetylcholine: Possible Scenarios on the Role for Dynamic Organization of Quasi-Attractors....Pages 170-178 Tracking a Moving Target Using Chaotic Dynamics in a Recurrent Neural Network Model....Pages 179-188 A Generalised Entropy Based Associative Model....Pages 189-198 The Detection of an Approaching Sound Source Using Pulsed Neural Network....Pages 199-208 Sensitivity and Uniformity in Detecting Motion Artifacts....Pages 209-218 A Ring Model for the Development of Simple Cells in the Visual Cortex....Pages 219-227 Practical Recurrent Learning (PRL) in the Discrete Time Domain....Pages 228-237 Learning of Bayesian Discriminant Functions by a Layered Neural Network....Pages 238-247 RNN with a Recurrent Output Layer for Learning of Naturalness....Pages 248-257 Using Generalization Error Bounds to Train the Set Covering Machine....Pages 258-268 Model of Cue Extraction from Distractors by Active Recall....Pages 269-278 PLS Mixture Model for Online Dimension Reduction....Pages 279-288 Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise....Pages 289-298 Fuzzy ARTMAP with Explicit and Implicit Weights....Pages 299-308 Neural Network Model of Forward Shift of CA1 Place Fields Towards Reward Location....Pages 309-316 A New Constructive Algorithm for Designing and Training Artificial Neural Networks....Pages 317-327 Effective Learning with Heterogeneous Neural Networks....Pages 328-337 Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic....Pages 338-347 Effect of Spatial Attention in Early Vision for the Modulation of the Perception of Border-Ownership....Pages 348-357 Effectiveness of Scale Free Network to the Performance Improvement of a Morphological Associative Memory without a Kernel Image....Pages 358-364 Intensity Gradient Self-organizing Map for Cerebral Cortex Reconstruction....Pages 365-373 Feature Subset Selection Using Constructive Neural Nets with Minimal Computation by Measuring Contribution....Pages 374-384 Dynamic Link Matching between Feature Columns for Different Scale and Orientation....Pages 385-394 Perturbational Neural Networks for Incremental Learning in Virtual Learning System....Pages 395-404 Bifurcations of Renormalization Dynamics in Self-organizing Neural Networks....Pages 405-414 Variable Selection for Multivariate Time Series Prediction with Neural Networks....Pages 415-425 Ordering Process of Self-Organizing Maps Improved by Asymmetric Neighborhood Function....Pages 426-435 A Characterization of Simple Recurrent Neural Networks with Two Hidden Units as a Language Recognizer....Pages 436-445 Unbiased Likelihood Backpropagation Learning....Pages 446-455 The Local True Weight Decay Recursive Least Square Algorithm....Pages 456-465 Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift....Pages 466-476 Using Image Stimuli to Drive fMRI Analysis....Pages 477-486 Parallel Reinforcement Learning for Weighted Multi-criteria Model with Adaptive Margin....Pages 487-496 Convergence Behavior of Competitive Repetition-Suppression Clustering....Pages 497-506 Self-Organizing Clustering with Map of Nonlinear Varieties Representing Variation in One Class....Pages 507-516 An Automatic Speaker Recognition System....Pages 517-526 Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis....Pages 527-536 Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise....Pages 537-546 A Subspace Method Based on Data Generation Model with Class Information....Pages 547-555 Hierarchical Feature Extraction for Compact Representation and Classification of Datasets....Pages 556-565 Principal Component Analysis for Sparse High-Dimensional Data....Pages 566-575 Hierarchical Bayesian Inference of Brain Activity....Pages 576-585 Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models....Pages 586-595 Estimating Internal Variables of a Decision Maker’s Brain: A Model-Based Approach for Neuroscience....Pages 596-603 Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions....Pages 604-613 Bayesian System Identification of Molecular Cascades....Pages 614-624 Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification....Pages 625-634 Extraction of Approximate Independent Components from Large Natural Scenes....Pages 635-642 Local Coordinates Alignment and Its Linearization....Pages 643-652 Walking Appearance Manifolds without Falling Off....Pages 653-662 Inverse-Halftoning for Error Diffusion Based on Statistical Mechanics of the Spin System....Pages 663-672 Chaotic Motif Sampler for Motif Discovery Using Statistical Values of Spike Time-Series....Pages 673-682 A Thermodynamical Search Algorithm for Feature Subset Selection....Pages 683-692 Solvable Performances of Optimization Neural Networks with Chaotic Noise and Stochastic Noise with Negative Autocorrelation....Pages 693-702 Solving the k -Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks....Pages 703-712 Optimization of Parametric Companding Function for an Efficient Coding....Pages 713-722 A Modified Soft-Shape-Context ICP Registration System of 3-D Point Data....Pages 723-732 Solution Method Using Correlated Noise for TSP....Pages 733-741 Bayesian Collaborative Predictors for General User Modeling Tasks....Pages 742-751 Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes....Pages 752-761 Efficient Incremental Learning Using Self-Organizing Neural Grove....Pages 762-770 Design of an Unsupervised Weight Parameter Estimation Method in Ensemble Learning....Pages 771-780 Sparse Super Symmetric Tensor Factorization....Pages 781-790 Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria....Pages 791-801 Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow....Pages 802-810 Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation....Pages 811-820 Appearance Models for Medical Volumes with Few Samples by Generalized 3D-PCA....Pages 821-830 Head Pose Estimation Based on Tensor Factorization....Pages 831-840 Kernel Maximum a Posteriori Classification with Error Bound Analysis....Pages 841-850 Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification....Pages 851-860 Pattern Discovery for High-Dimensional Binary Datasets....Pages 861-872 Expand-and-Reduce Algorithm of Particle Swarm Optimization....Pages 873-881 Nonlinear Pattern Identification by Multi-layered GMDH-Type Neural Network Self-selecting Optimum Neural Network Architecture....Pages 882-891 Coordinated Control of Reaching and Grasping During Prehension Movement....Pages 892-901 Computer Simulation of Vestibuloocular Reflex Motor Learning Using a Realistic Cerebellar Cortical Neuronal Network Model....Pages 902-912 Reflex Contributions to the Directional Tuning of Arm Stiffness....Pages 913-922 Analysis of Variability of Human Reaching Movements Based on the Similarity Preservation of Arm Trajectories....Pages 923-932 Directional Properties of Human Hand Force Perception in the Maintenance of Arm Posture....Pages 933-942 Computational Understanding and Modeling of Filling-In Process at the Blind Spot....Pages 943-952 Biologically Motivated Face Selective Attention Model....Pages 953-962 Multi-dimensional Histogram-Based Image Segmentation....Pages 963-972 A Framework for Multi-view Gender Classification....Pages 973-982 Japanese Hand Sign Recognition System....Pages 983-992 An Image Warping Method for Temporal Subtraction Images Employing Smoothing of Shift Vectors on MDCT Images....Pages 993-1001 Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements....Pages 1002-1011 An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position....Pages 1012-1020 Independence of Perception and Action for Grasping Positions....Pages 1021-1030 Handwritten Character Distinction Method Inspired by Human Vision Mechanism....Pages 1031-1040 Recent Advances in the Neocognitron....Pages 1041-1050 Engineering-Approach Accelerates Computational Understanding of V1–V2 Neural Properties....Pages 1051-1060 Recent Studies Around the Neocognitron....Pages 1061-1070 Toward Human Arm Attention and Recognition....Pages 1071-1080 Projection-Field-Type VLSI Convolutional Neural Networks Using Merged/Mixed Analog-Digital Approach....Pages 1081-1090 Optimality of Reaching Movements Based on Energetic Cost under the Influence of Signal-Dependent Noise....Pages 1091-1099 Influence of Neural Delay in Sensorimotor Systems on the Control Performance and Mechanism in Bicycle Riding....Pages 1100-1109 Global Localization for the Mobile Robot Based on Natural Number Recognition in Corridor Environment....Pages 1110-1119 A System Model for Real-Time Sensorimotor Processing in Brain....Pages 1120-1129 Perception of Two-Stroke Apparent Motion and Real Motion....Pages 1130-1139 Back Matter....Pages - 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.
دانلود کتاب Neural Information Processing : 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers. Part I