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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
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    Cited by:

    1. 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.
    2. 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.

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