Neural Information Processing

Cognitive Science and Computational Neuroscience.- Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems.- Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons.- Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking.- Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex.- Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors.- A Computational Model of Spatial Imagery Based on Object–Centered Scene Representation.- Biophysical Modeling of a Drosophila Photoreceptor.- Comparing a Cognitive and a Neural Model for Relative Trust Dynamics.- A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling.- Neurodynamics.- Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks.- Finding MAPs Using High Order Recurrent Networks.- A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems.- Decoding Characteristics of D/A Converters Based on Spiking Neurons.- Separable Recursive Training Algorithms with Switching Module.- Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations.- Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator.- Mathematical Modeling and Analysis.- A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv.- Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.- A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution.- Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection.- Divergence, Optimization and Geometry.- Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays.- An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion.- PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM.- Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.- Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation.- Quasi-Deterministic Partially Observable Markov Decision Processes.- Hierarchical Text Classification Incremental Learning.- Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays.- Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems.- Fault Tolerant Regularizers for Multilayer Feedforward Networks.- Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals.- Robust Local Tangent Space Alignment.- Probabilistic Combination of Multiple Evidence.- FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams.- Advances in PARAFAC Using Parallel Block Decomposition.- An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression.- Kernel and Related Methods.- DOA Estimation of Multiple Convolutively Mixed Sources Based on Principle Component Analysis.- Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.- The Optimization of Kernel CMAC Based on BYY Learning.- Closest Source Selection Using IVA and Characteristic of Mixing Channel.- Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA.- Echo Energy Estimation in Active Sonar Using Fast Independent Component Analysis.- Improving SVM Classification with Imbalance Data Set.- Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method.- Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals.- Learning Algorithms.- Learning of Mahalanobis Discriminant Functions by a Neural Network.- Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor.- Learning Gaussian Process Models from Uncertain Data.- A Bootstrap Artificial Neural Network Based Heterogeneous Panel Unit Root Test in Case of Cross Sectional Independence.- A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things.- Cellular Neural Networks Template Training System Using Iterative Annealing Optimization Technique on ACE16k Chip.- Estimation of Driving Phase by Modeling Brake Pressure Signals.- Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes.- Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks.- SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training.- Tracking in Reinforcement Learning.- Ensembling Heterogeneous Learning Models with Boosting.- Improvement Algorithm for Approximate Incremental Learning.- A Meta-learning Method Based on Temporal Difference Error.- Local Learning Rules for Nonnegative Tucker Decomposition.- Comparing Large Datasets Structures through Unsupervised Learning.- Applying Duo Output Neural Networks to Solve Single Output Regression Problem.- An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression.- Learning Cooperative Behaviours in Multiagent Reinforcement Learning.- Generating Tonal Counterpoint Using Reinforcement Learning.- Robust Approximation in Decomposed Reinforcement Learning.- Learning of Go Board State Evaluation Function by Artificial Neural Network.- Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network.- Pattern Analysis.- Semi-Naïve Bayesian Method for Network Intrusion Detection System.- Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2.- Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB.- Palmprint Recognition Based on Local DCT Feature Extraction.- Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech.- Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node.- A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning.- Face Analysis and Processing.- Gender Identification from Thai Speech Signal Using a Neural Network.- Gender Classification Based on Support Vector Machine with Automatic Confidence.- Multiple Occluded Face Detection Based on Binocular Saliency Map.- A Mutual Information Based Face Recognition Method.- Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score.- A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition.- Selecting, Optimizing and Fusing ‘Salient’ Gabor Features for Facial Expression Recognition.- Self-Organized Gabor Features for Pose Invariant Face Recognition.- Image Processing.- Image Hierarchical Segmentation Based on a GHSOM.- An Efficient Coding Model for Image Representation.- SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model.- Data Partitioning Technique for Online and Incremental Visual SLAM.- Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation.- An Image Identifier Based on Hausdorff Shape Trace Transform.- Personalized Fingerprint Segmentation.- Automatic Image Restoration Based on Tensor Voting.- Robust Incremental Subspace Learning for Object Tracking.- Reversible Data Hiding Using the Histogram Modification of Block Image.- A Rock Structure Recognition System Using FMI Images.- Financial Applications.- Analyzing Price Data to Determine Positive and Negative Product Associations.- Production Planning Algorithm and Software for Sofa Factory.- Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification.- Exploring Early Classification Strategies of Streaming Data with Delayed Attributes.- Exchange Rate Forecasting Using Classifier Ensemble.- Erratum.- Erratum to: Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks.