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.
Klappentext
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.
Inhalt
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 Dataset…