Cortex: Statistics and Geometry of Neuronal Connectivity

  • Valentino Braitenberg
  • Almut Schüz

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Valentino Braitenberg, Almut Schüz
    Pages 1-5
  3. Valentino Braitenberg, Almut Schüz
    Pages 7-13
  4. Valentino Braitenberg, Almut Schüz
    Pages 15-21
  5. Valentino Braitenberg, Almut Schüz
    Pages 23-27
  6. Valentino Braitenberg, Almut Schüz
    Pages 29-35
  7. Valentino Braitenberg, Almut Schüz
    Pages 37-38
  8. Valentino Braitenberg, Almut Schüz
    Pages 39-42
  9. Valentino Braitenberg, Almut Schüz
    Pages 43-44
  10. Valentino Braitenberg, Almut Schüz
    Pages 45-49
  11. Valentino Braitenberg, Almut Schüz
    Pages 51-55
  12. Valentino Braitenberg, Almut Schüz
    Pages 57-57
  13. Valentino Braitenberg, Almut Schüz
    Pages 59-62
  14. Valentino Braitenberg, Almut Schüz
    Pages 63-64
  15. Valentino Braitenberg, Almut Schüz
    Pages 65-66
  16. Valentino Braitenberg, Almut Schüz
    Pages 67-77
  17. Valentino Braitenberg, Almut Schüz
    Pages 79-82
  18. Valentino Braitenberg, Almut Schüz
    Pages 83-87
  19. Valentino Braitenberg, Almut Schüz
    Pages 89-90
  20. Valentino Braitenberg, Almut Schüz
    Pages 91-92

About this book

Introduction

By means of quantitative analysis of the tissue components in the cortex of the mouse, this book presents an overall picture of the cortical network which is then related to various theories on cortical function. It is centered around the idea of a diffuse network in a fairly homogeneous population of excitatory neurons, that of the pyramidal cells. It shows that the whole organisation in the cortical skeleton of pryramidal cells correspondes well to the idea of an associative memory and to the theory of cell assemblies.The theoretical points are made on the basis of experimental results.
The reader not only obtains information about quantitative neuroanatomy, but also on the methods used, in particular those that vary from the norm.

Keywords

Gedächtnis Nervenzellen Neuronale Netzwerke Synapses anatomy associative memory axon brain cortex learning memory neural networks neuroanatomy neuron neurons

Authors and affiliations

  • Valentino Braitenberg
    • 1
    • 2
  • Almut Schüz
    • 1
  1. 1.Max-Planck-Institut für Biologische KybernetikTübingenGermany
  2. 2.Institut für Medizinische Psychologie und VerhaltensneurobiologieEberhard-Karls-Universität TübingenTübingenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-03733-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-03735-5
  • Online ISBN 978-3-662-03733-1
  • About this book