IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v495y2013i7440d10.1038_nature11973.html
   My bibliography  Save this article

Membrane potential dynamics of grid cells

Author

Listed:
  • Cristina Domnisoru

    (Princeton Neuroscience Institute, Princeton University
    Bezos Center for Neural Circuit Dynamics, Princeton University
    Lewis-Sigler Institute for Integrative Genomics, Princeton University
    Princeton University)

  • Amina A. Kinkhabwala

    (Princeton Neuroscience Institute, Princeton University
    Bezos Center for Neural Circuit Dynamics, Princeton University
    Lewis-Sigler Institute for Integrative Genomics, Princeton University
    Princeton University)

  • David W. Tank

    (Princeton Neuroscience Institute, Princeton University
    Bezos Center for Neural Circuit Dynamics, Princeton University
    Lewis-Sigler Institute for Integrative Genomics, Princeton University
    Princeton University)

Abstract

During navigation, grid cells increase their spike rates in firing fields arranged on a markedly regular triangular lattice, whereas their spike timing is often modulated by theta oscillations. Oscillatory interference models of grid cells predict theta amplitude modulations of membrane potential during firing field traversals, whereas competing attractor network models predict slow depolarizing ramps. Here, using in vivo whole-cell recordings, we tested these models by directly measuring grid cell intracellular potentials in mice running along linear tracks in virtual reality. Grid cells had large and reproducible ramps of membrane potential depolarization that were the characteristic signature tightly correlated with firing fields. Grid cells also demonstrated intracellular theta oscillations that influenced their spike timing. However, the properties of theta amplitude modulations were not consistent with the view that they determine firing field locations. Our results support cellular and network mechanisms in which grid fields are produced by slow ramps, as in attractor models, whereas theta oscillations control spike timing.

Suggested Citation

  • Cristina Domnisoru & Amina A. Kinkhabwala & David W. Tank, 2013. "Membrane potential dynamics of grid cells," Nature, Nature, vol. 495(7440), pages 199-204, March.
  • Handle: RePEc:nat:nature:v:495:y:2013:i:7440:d:10.1038_nature11973
    DOI: 10.1038/nature11973
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature11973
    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/nature11973?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. Taylor J. Malone & Nai-Wen Tien & Yan Ma & Lian Cui & Shangru Lyu & Garret Wang & Duc Nguyen & Kai Zhang & Maxym V. Myroshnychenko & Jean Tyan & Joshua A. Gordon & David A. Kupferschmidt & Yi Gu, 2024. "A consistent map in the medial entorhinal cortex supports spatial memory," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    2. Shinichiro Kira & Houman Safaai & Ari S. Morcos & Stefano Panzeri & Christopher D. Harvey, 2023. "A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    3. Francis Kei Masuda & Emily A. Aery Jones & Yanjun Sun & Lisa M. Giocomo, 2023. "Ketamine evoked disruption of entorhinal and hippocampal spatial maps," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Tiziano D’Albis & Richard Kempter, 2017. "A single-cell spiking model for the origin of grid-cell patterns," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-41, October.

    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:495:y:2013:i:7440:d:10.1038_nature11973. 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.