IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms7024.html
   My bibliography  Save this article

Predicting oculomotor behaviour from correlated populations of posterior parietal neurons

Author

Listed:
  • Arnulf B. A. Graf

    (California Institute of Technology)

  • Richard A. Andersen

    (California Institute of Technology)

Abstract

Oculomotor function critically depends on how signals representing saccade direction and eye position are combined across neurons in the lateral intraparietal (LIP) area of the posterior parietal cortex. Here we show that populations of parietal neurons exhibit correlated variability, and that using these interneuronal correlations yields oculomotor predictions that are more accurate and also less uncertain. The structure of LIP population responses is therefore essential for reliable read-out of oculomotor behaviour.

Suggested Citation

  • Arnulf B. A. Graf & Richard A. Andersen, 2015. "Predicting oculomotor behaviour from correlated populations of posterior parietal neurons," Nature Communications, Nature, vol. 6(1), pages 1-7, May.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7024
    DOI: 10.1038/ncomms7024
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms7024
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms7024?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:6:y:2015:i:1:d:10.1038_ncomms7024. 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.