Bio-Inspired Applications of Connectionism （连接机制的生物激励应用）

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This book constitutes, together with its companion LNCS 2084, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and cognitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

Bio-inspired Systems and Engineering
From Embryonics to POEtic Machines
Design and Codesign of Neuro-Fuzzy Hardware
A Field-Programmable Conductance Array IC for Biological Neurons Modeling
A 2-by-n Hybrid Cellular Automaton Implementation Using a Bio-Inspired FPGA
Parametric Neurocontroller for Positioning of an Anthropomorfic Fingel
Based on an Oponent Driven-Tendon Transmission System
An Integration Principle for Multimodal Sensor Data Based on Temporal Coherence of Self-Organized Patterns
Simultaneous Parallel Processing of Object and Position by Temporal Correlation
Methodology for Nets Design, Nets Simulation and Implementation
NeuSim: A Modular Neural Networks Simulator for Beowulf Clusters
Curved Kernel Neural Network for Functions Approximation
Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
Extension of HUMANN for Dealing with Noise and with Classes of Different Shape and Size: A Parametric Study
Evenet 2000: Designing and Training Arbitrary Neural Networks in Java
Neyman-Pearson Neural Detectors
Distance between Kohonen Classes Visualization Tool to Use SOM in Data Set Analysis and Representation
Optimal Genetic Representation of Complete Strictly-Layered Feedforward Neural Networks
Assessing the Noise Immunity of Radial Basis Function Neural Network:
Analyzing Boltzmann Machine Parameters for Fast Convergence
A Penalization Criterion Based on Noise Behaviour for Model Selection
Image Processing
Wood Texture Analysis by Combining the Connected Elements Histogra and Artificial Neural Networks
Dynamic Topology Networks for Colour Image Compression
Analysis on'the Viewpoint Dependency in 3-D Object Recognition by Support Vector Machines
A Comparative Study of Two Neural Models for Cloud Screening of Iberian Peninsula Meteosat Images
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Medical Applications
Rbotics
General Applications
Author Index