NetPyNE, a tool for data-driven multiscale modeling of brain circuits

  1. Salvador Dura-Bernal  Is a corresponding author
  2. Benjamin A Suter
  3. Padraig Gleeson
  4. Matteo Cantarelli
  5. Adrian Quintana
  6. Facundo Rodriguez
  7. David J Kedziora
  8. George L Chadderdon
  9. Cliff C Kerr
  10. Samuel A Neymotin
  11. Robert A McDougal
  12. Michael Hines
  13. Gordon M G Shepherd
  14. William W Lytton
  1. State University of New York Downstate Medical Center, United States
  2. Northwestern University, United States
  3. University College London, United Kingdom
  4. Metacell LLC, United States
  5. EyeSeeTea Ltd, United Kingdom
  6. University of Sydney, Australia
  7. Yale University, United States

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Received

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  1. Salvador Dura-Bernal
  2. Benjamin A Suter
  3. Padraig Gleeson
  4. Matteo Cantarelli
  5. Adrian Quintana
  6. Facundo Rodriguez
  7. David J Kedziora
  8. George L Chadderdon
  9. Cliff C Kerr
  10. Samuel A Neymotin
  11. Robert A McDougal
  12. Michael Hines
  13. Gordon M G Shepherd
  14. William W Lytton
(2019)
NetPyNE, a tool for data-driven multiscale modeling of brain circuits
eLife 8:e44494.
https://doi.org/10.7554/eLife.44494

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https://doi.org/10.7554/eLife.44494