IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v428y2004i6984d10.1038_nature02466.html
   My bibliography  Save this article

Capacity limit of visual short-term memory in human posterior parietal cortex

Author

Listed:
  • J. Jay Todd

    (Vanderbilt University)

  • René Marois

    (Vanderbilt University)

Abstract

At any instant, our visual system allows us to perceive a rich and detailed visual world. Yet our internal, explicit representation of this visual world is extremely sparse: we can only hold in mind a minute fraction of the visual scene1,2. These mental representations are stored in visual short-term memory (VSTM). Even though VSTM is essential for the execution of a wide array of perceptual and cognitive functions3,4,5, and is supported by an extensive network of brain regions6,7,8,9, its storage capacity is severely limited10,11,12,13. With the use of functional magnetic resonance imaging, we show here that this capacity limit is neurally reflected in one node of this network: activity in the posterior parietal cortex is tightly correlated with the limited amount of scene information that can be stored in VSTM. These results suggest that the posterior parietal cortex is a key neural locus of our impoverished mental representation of the visual world.

Suggested Citation

  • J. Jay Todd & René Marois, 2004. "Capacity limit of visual short-term memory in human posterior parietal cortex," Nature, Nature, vol. 428(6984), pages 751-754, April.
  • Handle: RePEc:nat:nature:v:428:y:2004:i:6984:d:10.1038_nature02466
    DOI: 10.1038/nature02466
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature02466
    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/nature02466?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. Joseph Snider & Dongpyo Lee & Howard Poizner & Sergei Gepshtein, 2015. "Prospective Optimization with Limited Resources," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-28, September.
    2. Joost Pennings & Philip Garcia & Eligius Hendrix, 2005. "Towards a Theory of Revealed Economic Behavior: The Economic-Neurosciences Interface," Journal of Bioeconomics, Springer, vol. 7(2), pages 113-127, January.
    3. Halbauer, Ingo & Jacob, Saskia & Klarmann, Martin, 2022. "Brand presentation order in voice shopping: Understanding the effects of sequential product presentation," Journal of Retailing, Elsevier, vol. 98(4), pages 759-778.
    4. Shaiyan Keshvari & Ronald van den Berg & Wei Ji Ma, 2013. "No Evidence for an Item Limit in Change Detection," PLOS Computational Biology, Public Library of Science, vol. 9(2), pages 1-9, February.
    5. Lars E. Egner & Stefan Sütterlin & Ricardo G. Lugo, 2016. "Prevalence of Two-Syllable Digits Affecting Forward Digit Span Test Score," SAGE Open, , vol. 6(4), pages 21582440166, November.
    6. Sobanawartiny Wijeakumar & Samuel H. Forbes & Vincent A. Magnotta & Sean Deoni & Kiara Jackson & Vinay P. Singh & Madhuri Tiwari & Aarti Kumar & John P. Spencer, 2023. "Stunting in infancy is associated with atypical activation of working memory and attention networks," Nature Human Behaviour, Nature, vol. 7(12), pages 2199-2211, December.
    7. Mohammad Zia Ul Haq Katshu & Giovanni d'Avossa, 2014. "Fine-Grained, Local Maps and Coarse, Global Representations Support Human Spatial Working Memory," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    8. Pahor, Anja & Jaušovec, Norbert, 2017. "Multifaceted pattern of neural efficiency in working memory capacity," Intelligence, Elsevier, vol. 65(C), pages 23-34.
    9. Zaikin, Oleg & Kushtina, Emma & Rozewski, Przemyslaw, 2006. "Model and algorithm of the conceptual scheme formation for knowledge domain in distance learning," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1379-1399, 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:428:y:2004:i:6984:d:10.1038_nature02466. 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.