IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-23901-7.html
   My bibliography  Save this article

In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Author

Listed:
  • Taylor H. Newton

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL)
    IT’IS Foundation for Research on Information Technologies in Society)

  • Michael W. Reimann

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL))

  • Marwan Abdellah

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL))

  • Grigori Chevtchenko

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL))

  • Eilif B. Muller

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL)
    University of Montreal
    CHU Sainte-Justine Research Center
    Quebec Artificial Intelligence Institute (Mila))

  • Henry Markram

    (Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL)
    Brain Mind Institute, EPFL)

Abstract

Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in silico model of VSDI in a biologically faithful digital reconstruction of rodent neocortical microcircuitry. Using this model, we extend previous experimental observations regarding the cellular origins of VSDI, finding that the signal is driven primarily by neurons in layers 2/3 and 5, and that VSDI measurements do not capture individual spikes. Furthermore, we test the capacity of VSD image sequences to discriminate between afferent thalamic inputs at various spatial locations to estimate a lower bound on the functional resolution of VSDI. Our approach underscores the power of a bottom-up computational approach for relating scales of cortical processing.

Suggested Citation

  • Taylor H. Newton & Michael W. Reimann & Marwan Abdellah & Grigori Chevtchenko & Eilif B. Muller & Henry Markram, 2021. "In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23901-7
    DOI: 10.1038/s41467-021-23901-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-23901-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-021-23901-7?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
    ---><---

    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:12:y:2021:i:1:d:10.1038_s41467-021-23901-7. 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.