IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v412y2001i6846d10.1038_35087595.html
   My bibliography  Save this article

Retrospective and prospective coding for predicted reward in the sensory thalamus

Author

Listed:
  • Yutaka Komura

    (Faculty of Medicine, Toyama Medical and Pharmaceutical University
    University of Tokyo School of Medicine)

  • Ryoi Tamura

    (Faculty of Medicine, Toyama Medical and Pharmaceutical University)

  • Teruko Uwano

    (Faculty of Medicine, Toyama Medical and Pharmaceutical University)

  • Hisao Nishijo

    (Faculty of Medicine, Toyama Medical and Pharmaceutical University)

  • Kimitaka Kaga

    (University of Tokyo School of Medicine)

  • Taketoshi Ono

    (Faculty of Medicine, Toyama Medical and Pharmaceutical University)

Abstract

Reward is important for shaping goal-directed behaviour1,2,3,4. After stimulus–reward associative learning, an organism can assess the motivational value of the incoming stimuli on the basis of past experience (retrospective processing), and predict forthcoming rewarding events (prospective processing)1,2,3,4,5. The traditional role of the sensory thalamus is to relay current sensory information to cortex. Here we find that non-primary thalamic neurons respond to reward-related events in two ways. The early, phasic responses occurred shortly after the onset of the stimuli and depended on the sensory modality. Their magnitudes resisted extinction and correlated with the learning experience. The late responses gradually increased during the cue and delay periods, and peaked just before delivery of the reward. These responses were independent of sensory modality and were modulated by the value and timing of the reward. These observations provide new evidence that single thalamic neurons can code for the acquired significance of sensory stimuli in the early responses (retrospective coding) and predict upcoming reward value in the late responses (prospective coding).

Suggested Citation

  • Yutaka Komura & Ryoi Tamura & Teruko Uwano & Hisao Nishijo & Kimitaka Kaga & Taketoshi Ono, 2001. "Retrospective and prospective coding for predicted reward in the sensory thalamus," Nature, Nature, vol. 412(6846), pages 546-549, August.
  • Handle: RePEc:nat:nature:v:412:y:2001:i:6846:d:10.1038_35087595
    DOI: 10.1038/35087595
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/35087595
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/35087595?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. Xu Cui & Chess Stetson & P Read Montague & David M Eagleman, 2009. "Ready…Go: Amplitude of the fMRI Signal Encodes Expectation of Cue Arrival Time," PLOS Biology, Public Library of Science, vol. 7(8), pages 1-11, August.
    2. Masashi Hasegawa & Ziyan Huang & Ricardo Paricio-Montesinos & Jan Gründemann, 2024. "Network state changes in sensory thalamus represent learned outcomes," Nature Communications, Nature, vol. 15(1), pages 1-14, 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:412:y:2001:i:6846:d:10.1038_35087595. 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.