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Introduction to Dendritic Computation

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The Computing Dendrite

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

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Abstract

Dendrites receive the far majority of synaptic inputs to a neuron. The spatial distribution of inputs across the dendrites can be exploited by neurons to increase their computational repertoire. The role of dendrites in neural computation is the theme of the second part of this book to which this chapter forms the introduction. We review the various mechanisms that dendritic neurons can implement to introduce selectivity to spatiotemporal input patterns or to alter firing patterns, and briefly introduce the theoretical methods that are used to study this.

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Author information

Authors and Affiliations

  1. Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Invalidenstrasse 43, 10115, Berlin, Germany

    Michiel W. H. Remme

  2. Department of Neurobiology, Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, 91904, Jerusalem, Israel

    Benjamin Torben-Nielsen

  3. Blue Brain Project, Swiss Federal Institute of Technology in Lausanne, Quartier d’Innovation, Batiment J, 1015, Lausanne, Switzerland

    Benjamin Torben-Nielsen

Authors
  1. Michiel W. H. Remme
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  2. Benjamin Torben-Nielsen
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Correspondence to Michiel W. H. Remme .

Editor information

Editors and Affiliations

  1. Institute of Clinical Neuroanatomy, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society & Goethe-University, Frankfurt, Germany

    Hermann Cuntz

  2. Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Berlin, Germany

    Michiel W.H. Remme

  3. Department of Neurobiology, Hebrew University of Jerusalem, Jerusalem, Israel

    Benjamin Torben-Nielsen

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Remme, M.W.H., Torben-Nielsen, B. (2014). Introduction to Dendritic Computation. In: Cuntz, H., Remme, M., Torben-Nielsen, B. (eds) The Computing Dendrite. Springer Series in Computational Neuroscience, vol 11. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8094-5_10

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