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Neural Networks

An Introduction

  • Berndt Müller
  • Joachim Reinhardt

Part of the Physics of Neural Networks book series (NEURAL NETWORKS)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Models of Neural Networks

    1. Front Matter
      Pages 1-1
    2. Berndt Müller, Joachim Reinhardt
      Pages 2-11
    3. Berndt Müller, Joachim Reinhardt
      Pages 12-22
    4. Berndt Müller, Joachim Reinhardt
      Pages 23-36
    5. Berndt Müller, Joachim Reinhardt
      Pages 37-44
    6. Berndt Müller, Joachim Reinhardt
      Pages 45-50
    7. Berndt Müller, Joachim Reinhardt
      Pages 51-61
    8. Berndt Müller, Joachim Reinhardt
      Pages 62-72
    9. Berndt Müller, Joachim Reinhardt
      Pages 73-86
    10. Berndt Müller, Joachim Reinhardt
      Pages 87-103
    11. Berndt Müller, Joachim Reinhardt
      Pages 104-112
    12. Berndt Müller, Joachim Reinhardt
      Pages 113-118
    13. Berndt Müller, Joachim Reinhardt
      Pages 119-125
    14. Berndt Müller, Joachim Reinhardt
      Pages 126-131
    15. Berndt Müller, Joachim Reinhardt
      Pages 132-144
  3. Statistical Physics of Neural Networks

    1. Front Matter
      Pages 145-145
    2. Berndt Müller, Joachim Reinhardt
      Pages 146-155
    3. Berndt Müller, Joachim Reinhardt
      Pages 156-164
    4. Berndt Müller, Joachim Reinhardt
      Pages 165-186
    5. Berndt Müller, Joachim Reinhardt
      Pages 187-202
  4. Computer Codes

    1. Front Matter
      Pages 203-203
    2. Berndt Müller, Joachim Reinhardt
      Pages 204-207
    3. Berndt Müller, Joachim Reinhardt
      Pages 208-217
    4. Berndt Müller, Joachim Reinhardt
      Pages 218-221
    5. Berndt Müller, Joachim Reinhardt
      Pages 222-228
    6. Berndt Müller, Joachim Reinhardt
      Pages 229-232
    7. Berndt Müller, Joachim Reinhardt
      Pages 233-244
    8. Berndt Müller, Joachim Reinhardt
      Pages 245-249
  5. Back Matter
    Pages 250-266

About this book

Introduction

The mysteries of the human mind have fascinated scientists and philosophers alike for centuries. Descartes identified our ability to think as the foundation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in­ vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processes visual information), but has barely touched upon the deeper ones concerned with the nature of consciousness and the possible existence of mental features transcending the biological substance of the brain, often encapsulated in the concept "soul". Besides the physiological and philosophical approaches to these questions, so impressively presented and contrasted in the recent book by Popper and Ec­ cles [P077), studies of formal networks composed of binary-valued information­ processing units, highly abstracted versions of biological neurons, either by mathematical analysis or by computer simulation, have emerged as a third route towards a better understanding of the brain, and possibly of the human mind. Long remaining - with the exception of a brief period in the early 1960s - a rather obscure research interest of a small group of dedicated scientists scattered around the world, neural-network research has recently sprung into the limelight as a "fashionable" research field.

Keywords

Konnektionismus (Kybern.) Künstliche Intelligenz Pa artificial intelligence associative memory brain research distributed processing information processing intelligence learning memory modeling neural computing neural network neural networks

Authors and affiliations

  • Berndt Müller
    • 1
  • Joachim Reinhardt
    • 2
  1. 1.Department of PhysicsDuke UniversityDurhamUSA
  2. 2.Institut für Theoretische PhysikJ.-W.-Goethe-UniversitätFrankfurt 1Fed. Rep. of Germany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-97239-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1990
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-97241-6
  • Online ISBN 978-3-642-97239-3
  • Series Print ISSN 0939-3145
  • Buy this book on publisher's site