IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v456y2008i7218d10.1038_nature07351.html
   My bibliography  Save this article

Entrained rhythmic activities of neuronal ensembles as perceptual memory of time interval

Author

Listed:
  • Germán Sumbre

    (Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720, USA
    Present address: Laboratoire de Neurobiologie, UMR 8544, École Normale Supérieure, 46 rue d'Ulm, 75005 Paris, France.)

  • Akira Muto

    (University of California, San Francisco, California 94158, USA)

  • Herwig Baier

    (University of California, San Francisco, California 94158, USA)

  • Mu-ming Poo

    (Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720, USA)

Abstract

Natural rhythm Keeping track of time is essential to many aspects of perception and cognition. Several neuronal circuits have been shown to process temporal information on very short time scales only — microseconds to milliseconds. Now Sumbré et al. report that neuronal activity in the zebrafish visual system can keep the beat of relatively slow light flashes, at regular intervals of a few seconds, for up to 20 seconds after the stimulus is removed. This type of rhythmic activity on such long time scales may be the basis for an adjustable neural 'metronome', serving as a mechanism for the short-term perceptual memory of rhythmic sensory experiences.

Suggested Citation

  • Germán Sumbre & Akira Muto & Herwig Baier & Mu-ming Poo, 2008. "Entrained rhythmic activities of neuronal ensembles as perceptual memory of time interval," Nature, Nature, vol. 456(7218), pages 102-106, November.
  • Handle: RePEc:nat:nature:v:456:y:2008:i:7218:d:10.1038_nature07351
    DOI: 10.1038/nature07351
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07351
    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/nature07351?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. Feng-Sheng Tsai & Yi-Li Shih & Chin-Tzong Pang & Sheng-Yi Hsu, 2019. "Formulation of Pruning Maps with Rhythmic Neural Firing," Mathematics, MDPI, vol. 7(12), pages 1-15, 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:nature:v:456:y:2008:i:7218:d:10.1038_nature07351. 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.