IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v577y2020i7791d10.1038_s41586-019-1892-x.html
   My bibliography  Save this article

Nearest neighbours reveal fast and slow components of motor learning

Author

Listed:
  • Sepp Kollmorgen

    (University of Zurich and ETH Zurich)

  • Richard H. R. Hahnloser

    (University of Zurich and ETH Zurich)

  • Valerio Mante

    (University of Zurich and ETH Zurich)

Abstract

Changes in behaviour resulting from environmental influences, development and learning1–5 are commonly quantified on the basis of a few hand-picked features2–4,6,7 (for example, the average pitch of acoustic vocalizations3), assuming discrete classes of behaviours (such as distinct vocal syllables)2,3,8–10. However, such methods generalize poorly across different behaviours and model systems and may miss important components of change. Here we present a more-general account of behavioural change that is based on nearest-neighbour statistics11–13, and apply it to song development in a songbird, the zebra finch3. First, we introduce the concept of ‘repertoire dating’, whereby each rendition of a behaviour (for example, each vocalization) is assigned a repertoire time, reflecting when similar renditions were typical in the behavioural repertoire. Repertoire time isolates the components of vocal variability that are congruent with long-term changes due to vocal learning and development, and stratifies the behavioural repertoire into ‘regressions’, ‘anticipations’ and ‘typical renditions’. Second, we obtain a holistic, yet low-dimensional, description of vocal change in terms of a stratified ‘behavioural trajectory’, revealing numerous previously unrecognized components of behavioural change on fast and slow timescales, as well as distinct patterns of overnight consolidation1,2,4,14,15 across the behavioral repertoire. We find that diurnal changes in regressions undergo only weak consolidation, whereas anticipations and typical renditions consolidate fully. Because of its generality, our nonparametric description of how behaviour evolves relative to itself—rather than to a potentially arbitrary, experimenter-defined goal2,3,14,16—appears well suited for comparing learning and change across behaviours and species17,18, as well as biological and artificial systems5.

Suggested Citation

  • Sepp Kollmorgen & Richard H. R. Hahnloser & Valerio Mante, 2020. "Nearest neighbours reveal fast and slow components of motor learning," Nature, Nature, vol. 577(7791), pages 526-530, January.
  • Handle: RePEc:nat:nature:v:577:y:2020:i:7791:d:10.1038_s41586-019-1892-x
    DOI: 10.1038/s41586-019-1892-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-019-1892-x
    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/s41586-019-1892-x?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. Angeliki Damilou & Linbi Cai & Ali Özgür Argunşah & Shuting Han & George Kanatouris & Maria Karatsoli & Olivia Hanley & Lorenzo Gesuita & Sepp Kollmorgen & Fritjof Helmchen & Theofanis Karayannis, 2024. "Developmental Cajal-Retzius cell death contributes to the maturation of layer 1 cortical inhibition and somatosensory processing," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Avishek Paul & Helen McLendon & Veronica Rally & Jon T Sakata & Sarah C Woolley, 2021. "Behavioral discrimination and time-series phenotyping of birdsong performance," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-21, April.

    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:577:y:2020:i:7791:d:10.1038_s41586-019-1892-x. 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.