IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-57975-4.html
   My bibliography  Save this article

Can a single brain cell be surprised?

Author

Listed:
  • Karl J. Friston

    (University College London)

Abstract

A recent study by Buonomano et al. reports two important contributions; namely, empirical evidence for prediction error-like responses in single cells, using ex vivo preparations and optogenetics. Second, it foregrounds the role of asymmetric coupling in generating itinerant dynamics required for temporal prediction in neuronal circuits.

Suggested Citation

  • Karl J. Friston, 2025. "Can a single brain cell be surprised?," Nature Communications, Nature, vol. 16(1), pages 1-2, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57975-4
    DOI: 10.1038/s41467-025-57975-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-57975-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-57975-4?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
    ---><---

    References listed on IDEAS

    as
    1. Sevada Hovsepyan & Itsaso Olasagasti & Anne-Lise Giraud, 2020. "Combining predictive coding and neural oscillations enables online syllable recognition in natural speech," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    2. Benjamin Liu & Dean V. Buonomano, 2025. "Ex vivo cortical circuits learn to predict and spontaneously replay temporal patterns," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Ying & Zhang, Wei & Lin, Hongyi & Liu, Yang & Qu, Xiaobo, 2024. "Applying masked language model for transport mode choice behavior prediction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    2. Ediz Sohoglu & Loes Beckers & Matthew H. Davis, 2024. "Convergent neural signatures of speech prediction error are a biological marker for spoken word recognition," Nature Communications, Nature, vol. 15(1), pages 1-17, 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:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57975-4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.