IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-63968-0.html
   My bibliography  Save this article

The head-direction signal is generated from two types of head direction cells in brainstem nuclei

Author

Listed:
  • Jeffrey S. Taube

    (Department of Psychological & Brain Sciences)

  • William N. Butler

    (Department of Psychological & Brain Sciences)

  • Julie R. Dumont

    (Department of Psychological & Brain Sciences)

  • Jalina A. Graham

    (Department of Psychological & Brain Sciences)

  • Jennifer L. Marcroft

    (Department of Psychological & Brain Sciences)

  • Michael E. Shinder

    (Department of Psychological & Brain Sciences)

  • Robert W. Stackman

    (Department of Psychological & Brain Sciences)

  • Ryan M. Yoder

    (Department of Psychological & Brain Sciences)

Abstract

Head direction (HD) cells discharge based on an animal’s directional heading. Computational models propose that a ring-attractor network across the connections between the lateral mammillary (LMN) and dorsal tegmental nuclei (DTN) underlies the signal’s generation. These models contain neurons that encode either HD or angular head velocity (AHV), but also require cells that are sensitive to both parameters conjunctively (HD + AHV). Here we identify both types of HD cells in the LMN and DTN of female rats, with one population sensitive to AHV (both symmetric and asymmetric), and the other population insensitive to AHV. Notably, many HD + AHV cells are also sensitive to the animal’s linear head-speed (LHS). In contrast, anterodorsal thalamic HD cells are rarely sensitive to AHV or LHS. These findings demonstrate that the requisite HD + AHV cell is present in areas that generate the HD signal and supports the view that a ring attractor network underlies its generation in mammals.

Suggested Citation

  • Jeffrey S. Taube & William N. Butler & Julie R. Dumont & Jalina A. Graham & Jennifer L. Marcroft & Michael E. Shinder & Robert W. Stackman & Ryan M. Yoder, 2025. "The head-direction signal is generated from two types of head direction cells in brainstem nuclei," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63968-0
    DOI: 10.1038/s41467-025-63968-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-63968-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-63968-0?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
    ---><---

    References listed on IDEAS

    as
    1. Johannes D. Seelig & Vivek Jayaraman, 2015. "Neural dynamics for landmark orientation and angular path integration," Nature, Nature, vol. 521(7551), pages 186-191, May.
    2. Jonathan Green & Atsuko Adachi & Kunal K. Shah & Jonathan D. Hirokawa & Pablo S. Magani & Gaby Maimon, 2017. "A neural circuit architecture for angular integration in Drosophila," Nature, Nature, vol. 546(7656), pages 101-106, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rabia Anum, 2024. "Hybrid Neural-Digital Model for Egocentric-to-Allocentric Coordinate Transformation in Drosophila: A Central Complex and Half-Adder Logic Approach," Frontiers in Computational Spatial Intelligence, 50sea, vol. 2(3), pages 114-123, July.
    2. Hagar Lavian & Ot Prat & Luigi Petrucco & Vilim Štih & Ruben Portugues, 2025. "Visual motion and landmark position align with heading direction in the zebrafish interpeduncular nucleus," Nature Communications, Nature, vol. 16(1), pages 1-17, December.
    3. Laura Hermans & Murat Kaynak & Jonas Braun & Victor Lobato Ríos & Chin-Lin Chen & Adam Friedberg & Semih Günel & Florian Aymanns & Mahmut Selman Sakar & Pavan Ramdya, 2022. "Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Shanel C Pickard & David J Bertsch & Zoe Le Garrec & Roy E Ritzmann & Roger D Quinn & Nicholas S Szczecinski, 2021. "Internal state effects on behavioral shifts in freely behaving praying mantises (Tenodera sinensis)," PLOS Computational Biology, Public Library of Science, vol. 17(12), pages 1-22, December.
    5. Raymond Wang & Louis Kang, 2022. "Multiple bumps can enhance robustness to noise in continuous attractor networks," PLOS Computational Biology, Public Library of Science, vol. 18(10), pages 1-38, October.
    6. Gorkem Secer & James J. Knierim & Noah J. Cowan, 2025. "Explicit error coding can mediate gain recalibration in continuous bump attractor networks," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
    7. Kevin K. Sit & Michael J. Goard, 2023. "Coregistration of heading to visual cues in retrosplenial cortex," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    8. M. Jerome Beetz & Christian Kraus & Basil el Jundi, 2023. "Neural representation of goal direction in the monarch butterfly brain," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    9. Andrew M. M. Matheson & Aaron J. Lanz & Ashley M. Medina & Al M. Licata & Timothy A. Currier & Mubarak H. Syed & Katherine I. Nagel, 2022. "A neural circuit for wind-guided olfactory navigation," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    10. Océane Dauzere-Peres & Antoine Wystrach, 2024. "Ants integrate proprioception as well as visual context and efference copies to make robust predictions," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Mohammad Salahshour & Iain D. Couzin, 2025. "Allocentric flocking," Nature Communications, Nature, vol. 16(1), pages 1-21, December.

    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:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63968-0. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.