IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_s41467-017-02159-y.html
   My bibliography  Save this article

Multiplexed computations in retinal ganglion cells of a single type

Author

Listed:
  • Stéphane Deny

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80
    Neural Dynamics and Computation Lab, Stanford University)

  • Ulisse Ferrari

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80)

  • Emilie Macé

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80
    Neural Circuit Laboratories, Friedrich Miescher Institute for Biomedical Research)

  • Pierre Yger

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80)

  • Romain Caplette

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80)

  • Serge Picaud

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80)

  • Gašper Tkačik

    (Institute of Science and Technology Austria)

  • Olivier Marre

    (Institut de la Vision, INSERM UMRS 968, UPMC UM 80)

Abstract

In the early visual system, cells of the same type perform the same computation in different places of the visual field. How these cells code together a complex visual scene is unclear. A common assumption is that cells of a single-type extract a single-stimulus feature to form a feature map, but this has rarely been observed directly. Using large-scale recordings in the rat retina, we show that a homogeneous population of fast OFF ganglion cells simultaneously encodes two radically different features of a visual scene. Cells close to a moving object code quasilinearly for its position, while distant cells remain largely invariant to the object’s position and, instead, respond nonlinearly to changes in the object’s speed. We develop a quantitative model that accounts for this effect and identify a disinhibitory circuit that mediates it. Ganglion cells of a single type thus do not code for one, but two features simultaneously. This richer, flexible neural map might also be present in other sensory systems.

Suggested Citation

  • Stéphane Deny & Ulisse Ferrari & Emilie Macé & Pierre Yger & Romain Caplette & Serge Picaud & Gašper Tkačik & Olivier Marre, 2017. "Multiplexed computations in retinal ganglion cells of a single type," Nature Communications, Nature, vol. 8(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-02159-y
    DOI: 10.1038/s41467-017-02159-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-02159-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-017-02159-y?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
    ---><---

    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:8:y:2017:i:1:d:10.1038_s41467-017-02159-y. 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.