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NWB:N 2.0: An Accessible Data Standard for Neurophysiology

Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard
doi: https://doi.org/10.1101/523035
Oliver Rübel
Computational Research Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
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  • For correspondence: oruebel@lbl.gov kebouchard@lbl.gov
Andrew Tritt
Computational Research Division, Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
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Benjamin Dichter
Department of Neurosurgery, Stanford University, Stanford, CA, USA
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Thomas Braun
byte physics e. K., Berlin, Germany
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Nicholas Cain
Allen Institute for Brain Science, Seattle, WA, USA
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Nathan Clack
Vidrio Technologies, LLC., Ashburn, VA, USA
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Thomas J. Davidson
Howard Hughes Medical Institute, Kavli Institute for Fundamental Neuroscience, and Department of Physiology, University of California, San Francisco (UCSF), San Francisco, CA, USA
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Max Dougherty
Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Jean-Christophe Fillion-Robin
Kitware Inc., Clifton Park, NY, USA
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Nile Graddis
Allen Institute for Brain Science, Seattle, WA, USA
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Michael Grauer
Kitware Inc., Clifton Park, NY, USA
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Justin T. Kiggins
Allen Institute for Brain Science, Seattle, WA, USA
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Lawrence Niu
Vidrio Technologies, LLC., Ashburn, VA, USA
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Doruk Ozturk
Kitware Inc., Clifton Park, NY, USA
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William Schroeder
Kitware Inc., Clifton Park, NY, USA
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Ivan Soltesz
Department of Neurosurgery, Stanford University, Stanford, CA, USA
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Friedrich T. Sommer
Redwood Center for Theoretical Neuroscience, University of California Berkeley (UCB), Berkeley, CA, USA
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Karel Svoboda
Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, VA, USA
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Ng Lydia
Allen Institute for Brain Science, Seattle, WA, USA
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Loren M. Frank
Howard Hughes Medical Institute, Kavli Institute for Fundamental Neuroscience, and Department of Physiology, University of California, San Francisco (UCSF), San Francisco, CA, USA
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Kristofer Bouchard
Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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  • For correspondence: oruebel@lbl.gov kebouchard@lbl.gov
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ABSTRACT

Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. With NWB:N version 2.0 (NWB:N 2.0) we made significant advances towards creating a usable standard, software ecosystem, and vibrant community for standardizing neurophysiology data. In this manuscript we focus in particular on the NWB:N data standard schema and present advances towards creating an accessible data standard for neurophysiology.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 17, 2019.
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NWB:N 2.0: An Accessible Data Standard for Neurophysiology
Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard
bioRxiv 523035; doi: https://doi.org/10.1101/523035
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NWB:N 2.0: An Accessible Data Standard for Neurophysiology
Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard
bioRxiv 523035; doi: https://doi.org/10.1101/523035

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