IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v457y2009i7233d10.1038_nature07663.html
   My bibliography  Save this article

Dendritic encoding of sensory stimuli controlled by deep cortical interneurons

Author

Listed:
  • Masanori Murayama

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

  • Enrique Pérez-Garci

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

  • Thomas Nevian

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

  • Tobias Bock

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

  • Walter Senn

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

  • Matthew E. Larkum

    (Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland)

Abstract

Cortical mapping: dendrites run deep Dendrites enhance the computational power of neurons by active processing of synaptic inputs but their activity, particularly in cortex, has been hard to measure. Matthew Larkum and colleagues now use a new fibre-optic method to record dendritic calcium signals in freely moving animals. They show that the strength of a sensory stimulus — a puff or air on a mouse hind leg — is gradually encoded in somatosensory cortex neurons' dendrites, under the control of local inhibitory circuitry. The findings illustrate that the representation of sensory stimuli by cortical neurons cannot be fully described by traditional integrate-and-fire models.

Suggested Citation

  • Masanori Murayama & Enrique Pérez-Garci & Thomas Nevian & Tobias Bock & Walter Senn & Matthew E. Larkum, 2009. "Dendritic encoding of sensory stimuli controlled by deep cortical interneurons," Nature, Nature, vol. 457(7233), pages 1137-1141, February.
    • Handle: RePEc:nat:nature:v:457:y:2009:i:7233:d:10.1038_nature07663
    DOI: 10.1038/nature07663
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07663
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature07663?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olga Gliko & Matt Mallory & Rachel Dalley & Rohan Gala & James Gornet & Hongkui Zeng & Staci A. Sorensen & Uygar Sümbül, 2024. "High-throughput analysis of dendrite and axonal arbors reveals transcriptomic correlates of neuroanatomy," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Etay Hay & Sean Hill & Felix Schürmann & Henry Markram & Idan Segev, 2011. "Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties," PLOS Computational Biology, Public Library of Science, vol. 7(7), pages 1-18, July.
    3. Matteo Farinella & Daniel T Ruedt & Padraig Gleeson & Frederic Lanore & R Angus Silver, 2014. "Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-21, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:457:y:2009:i:7233:d:10.1038_nature07663. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.