Artificial Neural Networks: Biological Inspirations – ICANN 2005

1. Front Matter

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2. Modeling the Brain and Cognitive Functions

   1. Novelty Analysis in Dynamic Scene for Autonomous Mental Development

      • Sang-Woo Ban, Minho Lee

      Pages 1-6

   2. The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population

      • Wen-Chuang Chou, Tsung-Ying Sun

      Pages 7-12

   3. Short Term Memory and Pattern Matching with Simple Echo State Networks

      • Georg Fette, Julian Eggert

      Pages 13-18

   4. Analytical Solution for Dynamic of Neuronal Populations

      • Wentao Huang, Licheng Jiao, Shiping Ma, Yuelei Xu

      Pages 19-24

   5. Dynamics of Cortical Columns – Sensitive Decision Making

      • Jörg Lücke

      Pages 25-30

   6. Dynamics of Cortical Columns – Self-organization of Receptive Fields

      • Jörg Lücke, Jan D. Bouecke

      Pages 31-37

   7. Optimal Information Transmission Through Cortico-Cortical Synapses

      • Marcelo A. Montemurro, Stefano Panzeri

      Pages 39-44

   8. Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances

      • A. Rakotomamonjy, V. Guigue, G. Mallet, V. Alvarado

      Pages 45-50

   9. Modelling Path Integrator Recalibration Using Hippocampal Place Cells

      • T. Strösslin, R. Chavarriaga, D. Sheynikhovich, W. Gerstner

      Pages 51-56

   10. Coding of Objects in Low-Level Visual Cortical Areas

       • N. R. Taylor, M. Hartley, J. G. Taylor

       Pages 57-63

   11. A Gradient Rule for the Plasticity of a Neuron’s Intrinsic Excitability

       • Jochen Triesch

       Pages 65-70

   12. Building the Cerebellum in a Computer

       • Tadashi Yamazaki, Shigeru Tanaka

       Pages 71-77

3. Special Session: The Development of Cognitive Powers in Embodied Systems

   1. Combining Attention and Value Maps

      • Stathis Kasderidis, John G. Taylor

      Pages 79-84

   2. Neural Network with Memory and Cognitive Functions

      • Janusz A. Starzyk, Yue Li, David D. Vogel

      Pages 85-90

   3. Associative Learning in Hierarchical Self Organizing Learning Arrays

      • Janusz A. Starzyk, Zhen Zhu, Yue Li

      Pages 91-96

   4. A Review of Cognitive Processing in the Brain

      • John G. Taylor

      Pages 97-102

4. Spiking Neural Networks

   1. Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map

      • Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano

      Pages 103-108

   2. On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning

      • Yoshiyuki Asai, Tetyana I. Aksenova, Alessandro E. P. Villa

      Pages 109-114

   3. A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences

      • J. Bose, S. B. Furber, J. L. Shapiro

      Pages 115-120

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.

• algorithm
• algorithms
• artificial intelligence
• bioinformatics
• computer vision
• intelligence
• learning
• learning theory
• modeling
• multimedia
• semantics
• speech processing
• speech recognition
• system modeling

• Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

  Włodzisław Duch

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk, Sławomir Zadrożny

• Adaptive Informatics Research Centre, Helsinki University of Technology, Finland

  Erkki Oja

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