Bio-Inspired Applications of Connectionism

6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part II

  • José Mira
  • Alberto Prieto
Conference proceedings IWANN 2001

DOI: 10.1007/3-540-45723-2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Table of contents (101 papers)

  1. Front Matter
    Pages I-XXVII
  2. Bio-inspired Systems and Engineering

    1. From Embryonics to POEtic Machines
      Daniel Mange, André Stauffer, Gianluca Tempesti, Christof Teuscher
      Pages 1-13
    2. A Field-Programmable Conductance Array IC for Biological Neurons Modeling
      Vincent Douence, S. Renaud-Le Masson, S. Saïghi, G. Le Masson
      Pages 31-38
    3. A 2-by-n Hybrid Cellular Automaton Implementation Using a Bio-inspired FPGA
      Hector Fabio Restrepo, Daniel Mange
      Pages 39-46
  3. Methodology for Nets Design, Nets Simulation and Implementation

    1. NeuSim: A Modular Neural Networks Simulator for Beowulf Clusters
      Carlos J. García Orellana, Ramón Gallardo Caballero, Horacio M. González Velasco, Francisco J. López Aligué
      Pages 72-79
    2. Curved Kernel Neural Network for Functions Approximation
      Paul Bourret, Bruno Pelletier
      Pages 80-87
    3. Repeated Measures Multiple Comparison Procedures Applied to Model Selection in Neural Networks
      Elisa Guerrero Vázquez, Andrés Yañez Escolano, Pedro Galindo Riaño, Joaquín Pizarro Junquera
      Pages 88-95
    4. Extension of HUMANN for Dealing with Noise and with Classes of Different Shape and Size: A Parametric Study
      Patricio García Báez, Carmen Paz Suárez Araujo, Pablo Fernández López
      Pages 96-103
    5. Evenet 2000: Designing and Training Arbitrary Neural Networks in Java
      Evelio J. González, Alberto F. Hamilton, Lorenzo Moreno, José F. Sigut, Roberto L. Marichal
      Pages 104-110
    6. Neyman-Pearson Neural Detectors
      Diego Andina, José L. Sanz-González
      Pages 111-118
    7. Optimal Genetic Representation of Complete Strictly-Layered Feedforward Neural Networks
      Spyros Raptis, Spyros Tzafestas, Hermione Karagianni
      Pages 127-135
    8. Assesing the Noise Immunity of Radial Basis Function Neural Networks
      J. L. Bernier, J. González, A. Cañas, J. Ortega
      Pages 136-143
    9. Analyzing Boltzmann Machine Parameters for Fast Convergence
      Fco. Javier Salcedo, Julio Ortega, Alberto Prieto
      Pages 144-151
    10. A Penalization Criterion Based on Noise Behaviour for Model Selection
      JoaquínPizarro Junquera, Pedro Galindo Riaño, Elisa Guerrero Vázquez, Andrés Yañez Escolano1
      Pages 152-159
  4. Image Processing

    1. Wood Texture Analysis by Combining the Connected Elements Histogram and Artificial Neural Networks
      M. A. Patricio Guisado, D. Maravall Gómez-Allende
      Pages 160-167

Other volumes

  1. Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
    6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part 1
  2. Bio-Inspired Applications of Connectionism
    6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part II

About these proceedings

Introduction

Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.

Keywords

Signatur artificial intelligence artificial neural network automata cellular automaton classification data mining diagnosis evolutionary algorithm image analysis image processing learning theory neurons robotics statistics

Editors and affiliations

  • José Mira
    • 1
  • Alberto Prieto
    • 2
  1. 1.Departamento de Inteligencia ArtificialUniversidad Nacional de Educación a DistanciaMadridSpain
  2. 2.Departamento de Arquitectura y Tecnología de ComputadoresUniversidad de GranadaGranadaSpain

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-42237-2
  • Online ISBN 978-3-540-45723-7
  • Series Print ISSN 0302-9743