March 28, 2021 Dataset Open Access

Newton, Taylor; Reimann, Michael; Abdellah, Marwan; Chevtchenko, Grigori; Muller, Eilif B.; Markram, Henry

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.4718325</identifier>
  <creators>
    <creator>
      <creatorName>Newton, Taylor</creatorName>
      <givenName>Taylor</givenName>
      <familyName>Newton</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8429-8702</nameIdentifier>
      <affiliation>Foundation for Research on Information Technologies in Society (IT'IS)</affiliation>
    </creator>
    <creator>
      <creatorName>Reimann, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>Reimann</familyName>
      <affiliation>Blue Brain Project</affiliation>
    </creator>
    <creator>
      <creatorName>Abdellah, Marwan</creatorName>
      <givenName>Marwan</givenName>
      <familyName>Abdellah</familyName>
      <affiliation>Blue Brain Project</affiliation>
    </creator>
    <creator>
      <creatorName>Chevtchenko, Grigori</creatorName>
      <givenName>Grigori</givenName>
      <familyName>Chevtchenko</familyName>
      <affiliation>Blue Brain Project</affiliation>
    </creator>
    <creator>
      <creatorName>Muller, Eilif B.</creatorName>
      <givenName>Eilif B.</givenName>
      <familyName>Muller</familyName>
      <affiliation>Mila - Quebec AI Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Markram, Henry</creatorName>
      <givenName>Henry</givenName>
      <familyName>Markram</familyName>
      <affiliation>Blue Brain Project</affiliation>
    </creator>
  </creators>
  <titles>
    <title>In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations: figure data &amp; analysis code</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>in silico modeling, voltage-sensitive dyes, mesoscale imaging, spatiotemporal dynamics, 22 spatial resolution</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-28</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4718325</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4642360</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/bluebrain</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Tabular data and analysis code corresponding to figures 2 through 5 (and supplementary figures 1 through 6) in the 2021 Nature Communcations publication entitled &amp;quot;In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations&amp;quot;. Tabular data are provided for each figure in the form of excel spreadsheets, with&amp;nbsp;individual&amp;nbsp;data sheets for each figure sub-panel, where&amp;nbsp;all axis and units are described in the row and column headings. Additionally, the ipython notebooks used to generate the figure data are provided (figure*.ipynb), together with the necessary raw data files (data.zip), supporting libraries (utils.zip), output folder (figures.zip), and requirements (requirements.txt). See README.rtf for detailed information and usage instructions.&amp;nbsp;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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