The Computing Dendrite

From Structure to Function

  • Hermann Cuntz
  • Michiel W.H. Remme
  • Benjamin Torben-Nielsen

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 11)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Dendritic Morphology

    1. Front Matter
      Pages 1-1
    2. Benjamin Torben-Nielsen, Hermann Cuntz
      Pages 3-22
    3. Cesar H. Comin, Julian Tejada, Matheus P. Viana, Antonio C. Roque, Luciano da F. Costa
      Pages 41-59
    4. Jaap van Pelt, Harry B. M. Uylings, Arjen van Ooyen
      Pages 61-78
    5. Robert Egger, Vincent J. Dercksen, Christiaan P. J. de Kock, Marcel Oberlaender
      Pages 127-145
    6. Klaus M. Stiefel, Benjamin Torben-Nielsen
      Pages 147-158
  3. Dendritic Computation

    1. Front Matter
      Pages 159-159
    2. Michiel W. H. Remme, Benjamin Torben-Nielsen
      Pages 161-172
    3. Alain Destexhe, Michelle Rudolph-Lilith
      Pages 173-190
    4. Jeffrey S. Diamond, William N. Grimes
      Pages 191-204
    5. Robert G. Smith, W. Rowland Taylor
      Pages 205-222
    6. Tiago Branco
      Pages 245-257
    7. Hermann Cuntz, Juergen Haag, Alexander Borst
      Pages 259-275

About this book


Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems.

The book first looks at morphological properties of dendrites and summarizes the approaches to measure dendrite morphology quantitatively and to actually generate synthetic dendrite morphologies in computer models. This morphological characterization ranges from the study of fractal principles to describe dendrite topologies, to the consequences of optimization principles for dendrite shape. Individual approaches are collected to study the aspects of dendrite shape that relate directly to underlying circuit constraints and computation.

The second main theme focuses on how dendrites contribute to the computations that neurons perform. What role do dendritic morphology and the distributions of synapses and membrane properties over the dendritic tree have in determining the output of a neuron in response to its input? A wide range of studies is brought together, with topics ranging from general to system-specific phenomena—some having a strong experimental component, and others being fully theoretical. The studies come from many different neural systems and animal species ranging from invertebrates to mammals. With this broad focus, an overview is given of the diversity of mechanisms that dendrites can employ to shape neural computations.


Dendrites Dendritic computation Neuron morphology Synaptic integration

Editors and affiliations

  • Hermann Cuntz
    • 1
  • Michiel W.H. Remme
    • 2
  • Benjamin Torben-Nielsen
    • 3
  1. 1.Institute of Clinical NeuroanatomyErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society & Goethe-UniversityFrankfurtGermany
  2. 2.Institute for Theoretical BiologyHumboldt-Universität zu BerlinBerlinGermany
  3. 3.Department of NeurobiologyHebrew University of JerusalemJerusalemIsrael

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4614-8093-8
  • Online ISBN 978-1-4614-8094-5
  • Series Print ISSN 2197-1900
  • Series Online ISSN 2197-1919
  • About this book