Abstract is missing.
- How Reward Can Induce Reverse Replay of Behavioral Sequences in the HippocampusColin Molter, Naoyuki Sato, Utku Salihoglu, Yoko Yamaguchi. 1-10 [doi]
- Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural NetworkMeng Hu, Jiaojie Li, Guang Li, Walter J. Freeman. 11-18 [doi]
- BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding ThresholdHiroki Kurashige, Yutaka Sakai. 19-29 [doi]
- A New Method for Multiple Spike Train Analysis Based on Information DiscrepancyGuang-Li Wang, Xue Liu 0002, Pu-Ming Zhang, Pei-Ji Liang. 30-38 [doi]
- Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural NetworksRyosuke Hosaka, Tohru Ikeguchi, Kazuyuki Aihara. 39-48 [doi]
- Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain PatternsToshio Akimitsu, Akira Hirose, Yoichi Okabe. 49-58 [doi]
- Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External StimulusWuyin Jin, Zhiyuan Rui, Yaobing Wei, Changfeng Yan. 59-64 [doi]
- Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological StudyLing Fu Meng, Chiu-Ping Lu, Bo-Wei Chen, Ching-Horng Chen. 65-71 [doi]
- Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 AreaMinoru Tsukada, Yoshiyuki Yamazaki. 72-81 [doi]
- Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple CellAkhil R. Garg, Basabi Bhaumik. 82-89 [doi]
- Modeling of LTP-Related Phenomena Using an Artificial Firing CellBeata Grzyb, Jacek Bialowas. 90-96 [doi]
- Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related PotentialKai Yin, Xiao-jie Zhao, Li Yao. 97-104 [doi]
- An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic SensorsAlan Rosen, David B. Rosen. 105-116 [doi]
- Sequence Disambiguation by Functionally Divided Hippocampal CA3 ModelToshikazu Samura, Motonobu Hattori, Shun Ishizaki. 117-126 [doi]
- A Time-Dependent Model of Information Capacity of Visual AttentionXiaodi Hou, Liqing Zhang. 127-136 [doi]
- Learning with IncrementalityAbdelhamid Bouchachia. 137-146 [doi]
- Lability of Reactivated Human Declarative MemoryFumiko Tanabe, Ken Mogi. 147-154 [doi]
- A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar LearningSintiani Dewi Teddy, Edmund Ming-Kit Lai, Quek Hiok Chai. 155-164 [doi]
- A Neural Model for Stereo Transparency with the Population of the Disparity Energy ModelsOsamu Watanabe. 165-174 [doi]
- Functional Connectivity in the Resting Brain: An Analysis Based on ICAXia Wu, Li Yao, Zhi-ying Long, Jie Lu, Kuncheng Li. 175-182 [doi]
- Semantic Addressable EncodingCheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang. 183-192 [doi]
- Top-Down Attention Guided Object DetectionMei Tian, Siwei Luo, Lingzhi Liao, Lianwei Zhao. 193-202 [doi]
- Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC MethodY. Lin, Y. P. Zhang, R. H. Wu, H. Li, Z. W. Shen, X. K. Chen, K. Huang, G. Guo. 203-210 [doi]
- Learning in Neural Network - Unusual Effects of Artificial Dreams Ryszard Tadeusiewicz, Andrzej Izworski. 211-218 [doi]
- Spatial Attention in Early Vision Alternates Direction-of-FigureNobuhiko Wagatsuma, Ko Sakai. 219-227 [doi]
- Language Learnability by Feedback Self-Organizing MapsFuminori Mizushima, Takashi Toyoshima. 228-236 [doi]
- Text Representation by a Computational Model of ReadingJose Ignacio Serrano, M. Dolores del Castillo. 237-246 [doi]
- Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time StudyHyungwook Yim, Changsu Park, Heuseok Lim, Kichun Nam. 247-254 [doi]
- Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn OwlHidetaka Morisawa, Daisuke Hirayama, Kazuhisa Fujita, Yoshiki Kashimori, Takeshi Kambara. 255-262 [doi]
- Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of BatSeiichi Hirooka, Kazuhisa Fujita, Yoshiki Kashimori. 263-271 [doi]
- A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency ControlTian Guan, Qin Gong, Datian Ye. 272-279 [doi]
- Connectionist Approaches for Predicting Mouse Gene Function from Gene ExpressionEmad A. M. Andrews Shenouda, Quaid Morris, Anthony J. Bonner. 280-289 [doi]
- Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic AmbiguityGisoon Yu, Choong-Myung Kim, Dong Hwee Kim, Kichun Nam. 290-297 [doi]
- Intelligent System for Automatic Recognition and Evaluation of Speech CommandsWojciech Kacalak, Maciej Majewski. 298-305 [doi]
- A New Mechanism on Brain Information Processing - Energy CodingRubin Wang, Zhikang Zhang. 306-313 [doi]
- A Solution to the Curse of Dimensionality Problem in Pairwise Scoring TechniquesMan-Wai Mak, Sun-Yuan Kung. 314-323 [doi]
- First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal ModelC. F. Lo, T. K. Chung. 324-331 [doi]
- Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time DelayZhan Shu, James Lam. 332-341 [doi]
- Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval TasksXiang Peng, Irwin King. 342-351 [doi]
- Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic ApproachTakashi Saeki, Tsutomu Miki. 352-360 [doi]
- Two Methods for Sparsifying Probabilistic Canonical Correlation AnalysisColin Fyfe, Gayle Leen. 361-370 [doi]
- Turbo Decoding as an Instance of Expectation Maximization AlgorithmSaejoon Kim. 371-378 [doi]
- Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand SideWenlian Lu, Tianping Chen. 379-386 [doi]
- Reinforcement Learning Algorithm with CTRNN in Continuous Action SpaceHiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano. 387-396 [doi]
- Entropy Based Associative ModelMasahiro Nakagawa. 397-406 [doi]
- Free Energy of Stochastic Context Free Grammar on Variational BayesTikara Hosino, Kazuho Watanabe, Sumio Watanabe. 407-416 [doi]
- Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann MachinesYu Nishiyama, Sumio Watanabe. 417-426 [doi]
- Improving VG-RAM Neural Networks Performance Using Knowledge CorrelationRaphael V. Carneiro, Stiven Schwanz Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d Avila Garcez, Alberto Ferreira de Souza. 427-436 [doi]
- The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative MemoryJinhyuk Choi, Geehyuk Lee. 437-446 [doi]
- Coupling Adaboost and Random Subspace for Diversified Fisher Linear DiscriminantHui Kong, Jian-Gang Wang. 447-456 [doi]
- Self-organized Path Constraint Neural Network: Structure and AlgorithmHengqing Tong, Li Xiong, Hui Peng. 457-466 [doi]
- Gauss Wavelet Chaotic Neural NetworksYao-qun Xu, Ming Sun, Ji-hong Shen. 467-476 [doi]
- Training RBFs Networks: A Comparison Among Supervised and Not Supervised AlgorithmsMercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa. 477-486 [doi]
- A Cooperation Online Reinforcement Learning Approach in Ant-QSeungGwan Lee. 487-494 [doi]
- Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace DecompositionHaiqing Wang, Daoying Pi, Ning Jiang, Steven X. Ding. 495-504 [doi]
- A Soft Computing Based Approach for Modeling of Chaotic Time SeriesVajpai Jayashri, J. B. Arun. 505-512 [doi]
- Predicting Nonstationary Time Series with Multi-scale Gaussian Processes ModelYatong Zhou, Taiyi Zhang, Xiaohe Li. 513-520 [doi]
- Prediction Error of a Fault Tolerant Neural NetworkJohn Sum, Andrew Chi-Sing Leung, Kevin Ho. 521-528 [doi]
- Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural NetworksWudai Liao, Dongyun Wang, Yulin Xu, Xiaoxin Liao. 529-536 [doi]
- The Perfect Recalling Rate of Morphological Associative MemoryKe Zhang, Sadayuki Murashima. 537-546 [doi]
- Analysis of Dynamics of Cultured Neuronal Networks Using I&F ModelAkio Kawana, Shinya Tsuzuki, Osamu Watanabe. 547-553 [doi]
- Convergence Study of Discrete Neural Networks with DelayRun-Nian Ma, Guo-Qiang Bai. 554-561 [doi]
- Convergence of Batch BP Algorithm with Penalty for FNN TrainingWei Wu, Hongmei Shao, Zhengxue Li. 562-569 [doi]
- New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time DelaysZeynep Orman, Sabri Arik. 570-579 [doi]
- Global Stability of Cohen-Grossberg Neural Networks with Distributed DelaysWeirui Zhao, Huanshui Zhang. 580-590 [doi]
- Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation FunctionsChaojin Fu, Zhongsheng Wang. 591-597 [doi]
- Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed DelaysYonggui Kao, Cunchen Gao, Lu Wu, Qinghe Ming. 598-607 [doi]
- Stability Analysis for Higher Order Complex-Valued Hopfield Neural NetworkDeepak Mishra, Arvind Tolambiya, Amit Shukla, Prem Kumar Kalra. 608-615 [doi]
- Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward ArchitectureJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 616-625 [doi]
- Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated NeuronsRyotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima. 626-633 [doi]
- A Fast Bit-Parallel Algorithm for Gapped String KernelsChuanhuan Yin, Shengfeng Tian, Shaomin Mu. 634-641 [doi]
- A RBFN Based Cogging Force Estimator of PMLSM with q<1 StructureBo Shao, Zhitong Cao, Yuetong Xu. 642-649 [doi]
- Localized Bayes Estimation for Non-identifiable ModelsShingo Takamatsu, Shinichi Nakajima, Sumio Watanabe. 650-659 [doi]
- Optimality of Kernel Density Estimation of Prior Distribution in Bayes NetworkHengqing Tong, Yanfang Deng, Ziling Li. 660-669 [doi]
- Learning Hierarchical Bayesian Networks for Large-Scale Data AnalysisKyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang. 670-679 [doi]
- Learning Bayesian-Neural Network from Mixed-Mode DataWang Limin. 680-687 [doi]
- Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the EnsembleJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 688-697 [doi]
- Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of UnitsShuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida. 698-707 [doi]
- Using Weighted Combination-Based Methods in Ensembles with Different Levels of DiversityThiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto. 708-717 [doi]
- Integrated Neural Network Ensemble Algorithm Based on Clustering TechnologyBingjie Liu, Changhua Hu. 718-726 [doi]
- The Use of Stability Principle for Kernel Determination in Relevance Vector MachinesDmitry Kropotov, Dmitry Vetrov, Nikita Ptashko, Oleg Vasiliev. 727-736 [doi]
- Adaptive Kernel Leaning Networks with Application to Nonlinear System IdentificationHaiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding. 737-746 [doi]
- Probabilistic Kernel Principal Component Analysis Through TimeMauricio Alvarez, Ricardo Henao. 747-754 [doi]
- Confidence Intervals for the Risks of Regression ModelsImhoi Koo, Rhee Man Kil. 755-764 [doi]
- A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression ProblemThanapant Raicharoen, Chidchanok Lursinsap, Frank C. Lin. 765-772 [doi]
- A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector RegressionWen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen. 773-781 [doi]
- Feature Selection Using SVM Probabilistic OutputsKai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith. 782-791 [doi]
- Unified Kernel Function and Its Training Method for SVMHa-Nam Nguyen, Syng-Yup Ohn. 792-800 [doi]
- A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised ClassificationPing Ling, Zhe Wang, Chunguang Zhou. 801-810 [doi]
- Speeding Up SVM in Test Phase: Application to Radar HRRP ATRBo Chen, Hongwei Liu, Zheng Bao. 811-818 [doi]
- A New Dual ::::nu::::-Support Vector MachineYinshan Jia, Wang Yumei. 819-826 [doi]
- A Novel Sequential Minimal Optimization Algorithm for Support Vector RegressionJun Guo, Norikazu Takahashi, Tetsuo Nishi. 827-836 [doi]
- EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance ProblemsPilsung Kang, Sungzoon Cho. 837-846 [doi]
- A Improved SVM and Its Using in Electric Power System Load ForecastingJingmin Wang, Guoqiao Ren. 847-855 [doi]
- Support Vector Machine Tree Based on Feature SelectionQinzhen Xu, Wenjiang Pei, Luxi Yang, Zhenya He. 856-863 [doi]
- A Competitive Co-evolving Support Vector ClusteringSung-Hae Jun, Kyung-Whan Oh. 864-873 [doi]
- Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector MachineZonghai Sun. 874-881 [doi]
- Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation OperatorJilin Yang, Hong Peng, Zheng Pei. 882-891 [doi]
- A Distributed Support Vector Machines Architecture for Chaotic Time Series PredictionJian Cheng, Jian-Sheng Qian, Yi-Nan Guo. 892-899 [doi]
- Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector MachinesJiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo. 900-906 [doi]
- Self-Organizing Map with Input Data Represented as GraphTakeshi Yamakawa, Keiichi Horio, Masaharu Hoshino. 907-914 [doi]
- Semi-supervised Learning of Dynamic Self-Organising MapsArthur L. Hsu, Saman K. Halgamuge. 915-924 [doi]
- Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive LearningRyotaro Kamimura. 925-934 [doi]
- An Online Adaptation Control System Using mnSOMShuhei Nishida, Kazuo Ishii, Tetsuo Furukawa. 935-942 [doi]
- Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial CortexesTetsuo Furukawa, Kazuhiro Tokunaga. 943-949 [doi]
- SOM of SOMs: An Extension of SOM from Map to Homotopy Tetsuo Furukawa. 950-957 [doi]
- Modular Network SOM: Theory, Algorithm and ApplicationsKazuhiro Tokunaga, Tetsuo Furukawa. 958-967 [doi]
- Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship NetworkTakeshi Yamakawa, Keiichi Horio, Takahiro Tanaka. 968-977 [doi]
- Adaptively Incremental Self-organizing Isometric EmbeddingYuexian Hou, Gong Kefei, Pilian He. 978-986 [doi]
- An Extended Model on Self-Organizing MapShuzhong Yang, Siwei Luo, Jianyu Li. 987-994 [doi]
- A New SOM Algorithm for Electricity Load ForecastingManuel Martín-Merino, Jesus Román. 995-1003 [doi]
- ART-Based Parallel Learning of Growing SOMs and Its Application to TSPTetsunari Oshime, Toshimichi Saito, Hiroyuki Torikai. 1004-1011 [doi]
- Smooth Seamless Surface Construction Based on Conformal Self-organizing MapCheng-Yuan Liou, Yen-Ting Kuo, Jau-Chi Huang. 1012-1021 [doi]
- Consumer s Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply ChainLijuan Huang. 1022-1029 [doi]
- Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing MapShiyuan Liu, Li Lu, Guanglan Liao, Jianping Xuan. 1030-1037 [doi]
- K-Hyperplanes Clustering and Its Application to Sparse Component AnalysisZhaoshui He, Andrzej Cichocki, Shengli Xie. 1038-1047 [doi]
- Region of Interest Based Independent Component AnalysisIngo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet. 1048-1057 [doi]
- Variational Bayesian Method for Temporally Correlated Source SeparationQinghua Huang, Jie Yang, Yue Zhou. 1058-1067 [doi]
- Newton-Like Methods for Nonparametric Independent Component AnalysisHao Shen, Knut Hüper, Alexander J. Smola. 1068-1077 [doi]
- A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural NetworkChan-Cheng Liu, Tsung-Ying Sun, Sheng-Ta Hsieh, Chun-Ling Lin, Kan-Yuan Lee. 1078-1087 [doi]
- Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRITahir Rasheed, Myung Ho In, Young-Koo Lee, Sungyoung Lee, Soo Yeol Lee, Tae-Seong Kim. 1088-1097 [doi]
- Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel ManifoldMao Ye, Xuqian Fan, Qihe Liu. 1098-1106 [doi]
- Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN EstimationFasong Wang, Hongwei Li, Rui Li. 1107-1116 [doi]
- Denoising by Anisotropic Diffusion of Independent Component CoefficientsYinghong Luo, Caixia Tao, Xiaohu Qiang, Xiangyan Zeng. 1117-1124 [doi]
- Blind Separation of Digital Signal Sources in Noise CircumstanceBeihai Tan, Xiaolu Li. 1125-1132 [doi]
- Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy ObservationsChandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee. 1133-1142 [doi]
- First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal ModelC. F. Lo, T. K. Chung. 1155-1164 [doi]