1. Neuroscience
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Computational models of O-LM cells are recruited by low or high theta frequency inputs depending on h-channel distributions

  1. Vladislav Sekulić  Is a corresponding author
  2. Frances K Skinner  Is a corresponding author
  1. University Health Network, Canada
Research Article
  • Cited 13
  • Views 843
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Cite this article as: eLife 2017;6:e22962 doi: 10.7554/eLife.22962

Abstract

Although biophysical details of inhibitory neurons are becoming known, it is challenging to map these details onto function. Oriens-lacunosum/moleculare (O-LM) cells are inhibitory cells in the hippocampus that gate information flow, firing while phase-locked to theta rhythms. We build on our existing computational model database of O-LM cells to link model with function. We place our models in high-conductance states and modulate inhibitory inputs at a wide range of frequencies. We find preferred spiking recruitment of models at high (4-9 Hz) or low (2-5 Hz) theta depending on, respectively, the presence or absence of h-channels on their dendrites. This also depends on slow delayed-rectifier potassium channels, and preferred theta ranges shift when h-channels are potentiated by cyclic AMP. Our results suggest that O-LM cells can be differentially recruited by frequency-modulated inputs depending on specific channel types and distributions. This work exposes a strategy for understanding how biophysical characteristics contribute to function.

Article and author information

Author details

  1. Vladislav Sekulić

    Krembil Research Institute, University Health Network, Toronto, Canada
    For correspondence
    vlad.sekulic@gmail.com
    Competing interests
    No competing interests declared.
  2. Frances K Skinner

    Krembil Research Institute, University Health Network, Toronto, Canada
    For correspondence
    frances.skinner@gmail.com
    Competing interests
    Frances K Skinner, Reviewing editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7819-4202

Funding

Natural Sciences and Engineering Research Council of Canada (Discovery Grant,RGPIN 2016-06182,RGPIN 203700-11)

  • Frances K Skinner

Ontario Graduate Scholarship (Graduate Student Award)

  • Frances K Skinner

SciNet High Performance Consortium (SciNet HPC Consortium)

  • Frances K Skinner

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. John Huguenard, Stanford University School of Medicine, United States

Publication history

  1. Received: November 4, 2016
  2. Accepted: March 19, 2017
  3. Accepted Manuscript published: March 20, 2017 (version 1)
  4. Version of Record published: April 28, 2017 (version 2)
  5. Version of Record updated: June 2, 2017 (version 3)

Copyright

© 2017, Sekulić & Skinner

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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