IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v518y2015i7538d10.1038_nature14151.html
   My bibliography  Save this article

Shearing-induced asymmetry in entorhinal grid cells

Author

Listed:
  • Tor Stensola

    (Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7491 Trondheim, Norway)

  • Hanne Stensola

    (Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7491 Trondheim, Norway)

  • May-Britt Moser

    (Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7491 Trondheim, Norway)

  • Edvard I. Moser

    (Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7491 Trondheim, Norway)

Abstract

Grid cells are neurons with periodic spatial receptive fields (grids) that tile two-dimensional space in a hexagonal pattern. To provide useful information about location, grids must be stably anchored to an external reference frame. The mechanisms underlying this anchoring process have remained elusive. Here we show in differently sized familiar square enclosures that the axes of the grids are offset from the walls by an angle that minimizes symmetry with the borders of the environment. This rotational offset is invariably accompanied by an elliptic distortion of the grid pattern. Reversing the ellipticity analytically by a shearing transformation removes the angular offset. This, together with the near-absence of rotation in novel environments, suggests that the rotation emerges through non-coaxial strain as a function of experience. The systematic relationship between rotation and distortion of the grid pattern points to shear forces arising from anchoring to specific geometric reference points as key elements of the mechanism for alignment of grid patterns to the external world.

Suggested Citation

  • Tor Stensola & Hanne Stensola & May-Britt Moser & Edvard I. Moser, 2015. "Shearing-induced asymmetry in entorhinal grid cells," Nature, Nature, vol. 518(7538), pages 207-212, February.
  • Handle: RePEc:nat:nature:v:518:y:2015:i:7538:d:10.1038_nature14151
    DOI: 10.1038/nature14151
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature14151
    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/nature14151?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. Alexander Nitsch & Mona M. Garvert & Jacob L. S. Bellmund & Nicolas W. Schuck & Christian F. Doeller, 2024. "Grid-like entorhinal representation of an abstract value space during prospective decision making," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    2. Simon N Weber & Henning Sprekeler, 2019. "A local measure of symmetry and orientation for individual spikes of grid cells," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-21, February.
    3. Laurenz Muessig & Fabio Ribeiro Rodrigues & Tale L. Bjerknes & Benjamin W. Towse & Caswell Barry & Neil Burgess & Edvard I. Moser & May-Britt Moser & Francesca Cacucci & Thomas J. Wills, 2024. "Environment geometry alters subiculum boundary vector cell receptive fields in adulthood and early development," Nature Communications, Nature, vol. 15(1), pages 1-17, 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.
    5. Lajos Vágó & Balázs B Ujfalussy, 2018. "Robust and efficient coding with grid cells," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-28, January.

    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:518:y:2015:i:7538:d:10.1038_nature14151. 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.