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FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

Matthew D. Golub; David Sussillo


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  <identifier identifierType="DOI">10.5281/zenodo.1476209</identifier>
  <creators>
    <creator>
      <creatorName>Matthew D. Golub</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4508-0537</nameIdentifier>
      <affiliation>Stanford University</affiliation>
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    <creator>
      <creatorName>David Sussillo</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1620-1264</nameIdentifier>
      <affiliation>Google Brain</affiliation>
    </creator>
  </creators>
  <titles>
    <title>FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-10-31</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
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  </relatedIdentifiers>
  <version>v1.0.3</version>
  <rightsList>
    <rights rightsURI="http://www.opensource.org/licenses/Apache-2.0">Apache License 2.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;An open-source Tensorflow toolbox for finding fixed points and linearized dynamics in arbitrary recurrent neural network&amp;nbsp;architectures.&lt;/p&gt;</description>
  </descriptions>
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