Ebook: Artificial Neural Networks: Biological Inspirations – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part I

This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

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The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005.

The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.

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The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005.

The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.

Content:
Front Matter....Pages -
Novelty Analysis in Dynamic Scene for Autonomous Mental Development....Pages 1-6
The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population....Pages 7-12
Short Term Memory and Pattern Matching with Simple Echo State Networks....Pages 13-18
Analytical Solution for Dynamic of Neuronal Populations....Pages 19-24
Dynamics of Cortical Columns – Sensitive Decision Making....Pages 25-30
Dynamics of Cortical Columns – Self-organization of Receptive Fields....Pages 31-37
Optimal Information Transmission Through Cortico-Cortical Synapses....Pages 39-44
Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances....Pages 45-50
Modelling Path Integrator Recalibration Using Hippocampal Place Cells....Pages 51-56
Coding of Objects in Low-Level Visual Cortical Areas....Pages 57-63
A Gradient Rule for the Plasticity of a Neuron’s Intrinsic Excitability....Pages 65-70
Building the Cerebellum in a Computer....Pages 71-77
Combining Attention and Value Maps....Pages 79-84
Neural Network with Memory and Cognitive Functions....Pages 85-90
Associative Learning in Hierarchical Self Organizing Learning Arrays....Pages 91-96
A Review of Cognitive Processing in the Brain....Pages 97-102
Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map....Pages 103-108
On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning....Pages 109-114
A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences....Pages 115-120
ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods....Pages 121-126
Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity....Pages 127-132
An Information Geometrical Analysis of Neural Spike Sequences....Pages 133-138
Perceptual Binding by Coupled Oscillatory Neural Network....Pages 139-144
Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks....Pages 145-152
Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits....Pages 153-159
A Hardware/Software Framework for Real-Time Spiking Systems....Pages 161-166
Efficient Source Detection Using Integrate-and-Fire Neurons....Pages 167-172
A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks....Pages 173-178
Balance Algorithm for Point-Feature Label Placement Problem....Pages 179-184
Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics....Pages 185-192
Recovery of Performance in a Partially Connected Associative Memory Network Through Coding....Pages 193-198
Optimal Triangle Stripifications as Minimum Energy States in Hopfield Nets....Pages 199-204
A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity....Pages 205-210
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?....Pages 211-216
Making Competition in Neural Fields Suitable for Computational Architectures....Pages 217-222
Neural Network Computations with Negative Triggering Thresholds....Pages 223-228
A Model for Delay Activity Without Recurrent Excitation....Pages 229-234
Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks....Pages 235-240
Learning Features of Intermediate Complexity for the Recognition of Biological Motion....Pages 241-246
Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb’s Law....Pages 247-253
Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks....Pages 255-260
Action Understanding and Imitation Learning in a Robot-Human Task....Pages 261-268
Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs....Pages 269-274
HYDRA: From Cellular Biology to Shape-Changing Artefacts....Pages 275-281
The CIRCE Head: A Biomimetic Sonar System....Pages 283-288
Tools for Address-Event-Representation Communication Systems and Debugging....Pages 289-296
New Ears for a Robot Cricket....Pages 297-304
Reinforcement Learning in MirrorBot....Pages 305-310
Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes....Pages 311-316
Lamarckian Clonal Selection Algorithm with Application....Pages 317-322
Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks....Pages 323-329
Immune Clonal Selection Wavelet Network Based Intrusion Detection....Pages 331-336
Investigation of Evolving Populations of Adaptive Agents....Pages 337-342
Enhancing Cellular Automata by an Embedded Generalized Multi-layer Perceptron....Pages 343-348
Intelligent Pattern Generation for a Tactile Communication System....Pages 349-356
Self-organizing Map Initialization....Pages 357-362
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner....Pages 363-370
Spatio-Temporal Organization Map: A Speech Recognition Application....Pages 371-378
Residual Activity in the Neurons Allows SOMs to Learn Temporal Order....Pages 379-384
Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology....Pages 385-390
SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps....Pages 391-396
The Topographic Product of Experts....Pages 397-402
Self Organizing Map (SOM) Approach for Classification of Power Quality Events....Pages 403-408
SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant....Pages 409-414
A New Extension of Self-optimizing Neural Networks for Topology Optimization....Pages 415-420
A Novel Technique for Data Visualization Based on SOM....Pages 421-426
Statistical Properties of Lattices Affect Topographic Error in Self-organizing Maps....Pages 427-432
Increasing Reliability of SOMs’ Neighbourhood Structure with a Bootstrap Process....Pages 433-438
Artificial Neural Receptive Field for Stereovision....Pages 439-445
Pattern Detection Using Fast Normalized Neural Networks....Pages 447-454
Neural Network Model for Extracting Optic Flow....Pages 455-460
A Modular Single-Hidden-Layer Perceptron for Letter Recognition....Pages 461-467
Fast Color-Based Object Recognition Independent of Position and Orientation....Pages 469-474
Class-Specific Sparse Coding for Learning of Object Representations....Pages 475-480
Neural Network Based Adult Image Classification....Pages 481-486
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model....Pages 487-492
Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition....Pages 493-498
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations....Pages 499-505
The Emergence of Visual Object Recognition....Pages 507-512
Implicit Relevance Feedback from Eye Movements....Pages 513-518
Image Segmentation by Complex-Valued Units....Pages 519-524
Cellular Neural Networks for Color Image Segmentation....Pages 525-530
Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network....Pages 531-536
Adaptive Switching Median Filter with Neural Network Impulse Detection Step....Pages 537-542
Human Face Detection Using New High Speed Modular Neural Networks....Pages 543-550
Face Detection Using Convolutional Neural Networks and Gabor Filters....Pages 551-556
Face Identification Performance Using Facial Expressions as Perturbation....Pages 557-562
Discriminative Common Images for Face Recognition....Pages 563-568
Classification of Face Images for Gender, Age, Facial Expression, and Identity....Pages 569-574
Classifying Unprompted Speech by Retraining LSTM Nets....Pages 575-581
Temporal Sound Processing by Cochlear Nucleus Octopus Neurons....Pages 583-588
A SOM Based 2500 – Isolated – Farsi – Word Speech Recognizer....Pages 589-595
Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling....Pages 597-603
Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds....Pages 605-610
Biclustering Gene Expression Data in the Presence of Noise....Pages 611-616
Gene Extraction for Cancer Diagnosis by Support Vector Machines....Pages 617-624
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data....Pages 625-633
Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses....Pages 635-640
A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images....Pages 641-646
Neural Network Use for the Identification of Factors Related to Common Mental Disorders....Pages 647-652
Development and Realization of the Artificial Neural Network for Diagnostics of Stroke Type....Pages 653-658
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification....Pages 659-663
SOM-Based Wavelet Filtering for the Exploration of Medical Images....Pages 665-670
Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm....Pages 671-676
Early Detection of Alzheimer’s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals....Pages 677-682
Back Matter....Pages 683-692
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