神经信息处理LNCS-4232

作者简介

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006.　　The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions. The 126 papers of the first volume are organized in topical sections on neurobiological modeling and analysis, cognitive processing, mathematical modeling and analysis, learning algorithms, support vector machines, self-organizing maps, as well as independent component analysis and blind source separation. The second volume contains 128 contributions related to pattern classification, face analysis and processing, image processing, signal processing, computer vision, data pre-processing, forecasting and prediction, as well as neurodynamic and particle swarm optimization. The third volume offers 131 papers that deal with bioinformatics and biomedical applications, information security, data and text processing, financial applications, manufacturing systems, control and robotics, evolutionary algorithms and systems, fuzzy systems, and hardware implementations.

书籍目录

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 Learnin　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 CellCognitive 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……Learning AlgorithmsSupport Vector MachinesSelf-Organizing MapIndependet Component Analysis and Blind Source SeparationAuthor Index

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