Artificial Neural Networks

Modeling the Brain and Cognitive Functions.- Novelty Analysis in Dynamic Scene for Autonomous Mental Development.- The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population.- Short Term Memory and Pattern Matching with Simple Echo State Networks.- Analytical Solution for Dynamic of Neuronal Populations.- Dynamics of Cortical Columns - Sensitive Decision Making.- Dynamics of Cortical Columns - Self-organization of Receptive Fields.- Optimal Information Transmission Through Cortico-Cortical Synapses.- Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances.- Modelling Path Integrator Recalibration Using Hippocampal Place Cells.- Coding of Objects in Low-Level Visual Cortical Areas.- A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability.- Building the Cerebellum in a Computer.- Special Session: The Development of Cognitive Powers in Embodied Systems.- Combining Attention and Value Maps.- Neural Network with Memory and Cognitive Functions.- Associative Learning in Hierarchical Self Organizing Learning Arrays.- A Review of Cognitive Processing in the Brain.- Spiking Neural Networks.- Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map.- On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning.- A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences.- ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods.- Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity.- An Information Geometrical Analysis of Neural Spike Sequences.- Perceptual Binding by Coupled Oscillatory Neural Network.- Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks.- Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits.- A Hardware/Software Framework for Real-Time Spiking Systems.- Efficient Source Detection Using Integrate-and-Fire Neurons.- Associative Memory Models.- A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks.- Balance Algorithm for Point-Feature Label Placement Problem.- Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics.- Recovery of Performance in a Partially Connected Associative Memory Network Through Coding.- Optimal Triangle Stripifications as Minimum Energy States in Hopfield Nets.- Models of Biological Functions.- A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity.- Can Dynamic Neural Filters Produce Pseudo-Random Sequences?.- Making Competition in Neural Fields Suitable for Computational Architectures.- Neural Network Computations with Negative Triggering Thresholds.- A Model for Delay Activity Without Recurrent Excitation.- Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks.- Learning Features of Intermediate Complexity for the Recognition of Biological Motion.- Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law.- Special Session: Projects in the Area of NeuroIT.- Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks.- Action Understanding and Imitation Learning in a Robot-Human Task.- Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs.- HYDRA: From Cellular Biology to Shape-Changing Artefacts.- The CIRCE Head: A Biomimetic Sonar System.- Tools for Address-Event-Representation Communication Systems and Debugging.- New Ears for a Robot Cricket.- Reinforcement Learning in MirrorBot.- Evolutionary and Other Biological Inspirations.- Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes.- Lamarckian Clonal Selection Algorithm with Application.- Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks.- Immune Clonal Selection Wavelet Network Based Intrusion Detection.- Investigation of Evolving Populations of Adaptive Agents.- Enhancing Cellular Automata by an Embedded Generalized Multi-layer Perceptron.- Intelligent Pattern Generation for a Tactile Communication System.- Self-organizing Maps and Their Applications.- Self-organizing Map Initialization.- Principles of Employing a Self-organizing Map as a Frequent Itemset Miner.- Spatio-Temporal Organization Map: A Speech Recognition Application.- Residual Activity in the Neurons Allows SOMs to Learn Temporal Order.- Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology.- SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps.- The Topographic Product of Experts.- Self Organizing Map (SOM) Approach for Classification of Power Quality Events.- SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant.- A New Extension of Self-optimizing Neural Networks for Topology Optimization.- A Novel Technique for Data Visualization Based on SOM.- Statistical Properties of Lattices Affect Topographic Error in Self-organizing Maps.- Increasing Reliability of SOMs' Neighbourhood Structure with a Bootstrap Process.- Computer Vision.- Artificial Neural Receptive Field for Stereovision.- Pattern Detection Using Fast Normalized Neural Networks.- Neural Network Model for Extracting Optic Flow.- A Modular Single-Hidden-Layer Perceptron for Letter Recognition.- Fast Color-Based Object Recognition Independent of Position and Orientation.- Class-Specific Sparse Coding for Learning of Object Representations.- Neural Network Based Adult Image Classification.- Online Learning for Object Recognition with a Hierarchical Visual Cortex Model.- Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition.- Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations.- The Emergence of Visual Object Recognition.- Implicit Relevance Feedback from Eye Movements.- Image Segmentation by Complex-Valued Units.- Cellular Neural Networks for Color Image Segmentation.- Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network.- Adaptive Switching Median Filter with Neural Network Impulse Detection Step.- Face Recognition and Detection.- Human Face Detection Using New High Speed Modular Neural Networks.- Face Detection Using Convolutional Neural Networks and Gabor Filters.- Face Identification Performance Using Facial Expressions as Perturbation.- Discriminative Common Images for Face Recognition.- Classification of Face Images for Gender, Age, Facial Expression, and Identity.- Sound and Speech Recognition.- Classifying Unprompted Speech by Retraining LSTM Nets.- Temporal Sound Processing by Cochlear Nucleus Octopus Neurons.- A SOM Based 2500 - Isolated - Farsi - Word Speech Recognizer.- Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling.- Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds.- Bioinformatics.- Biclustering Gene Expression Data in the Presence of Noise.- Gene Extraction for Cancer Diagnosis by Support Vector Machines.- High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data.- Biomedical Applications.- Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses.- Medical Document Categorization Using a Priori Knowledge.- A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images.- Neural Network Use for the Identification of Factors Related to Common Mental Disorders.- Development and Realization of the Artificial Neural Network for Diagnostics of Stroke Type.- Special Session: Information-Theoretic Concepts in Biomedical Data Analysis.- A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.- SOM-Based Wavelet Filtering for the Exploration of Medical Images.- Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm.- Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals.