Editorial: Reproducibility and Rigour in Computational Neuroscience

Front Neuroinform. 2020 May 27:14:23. doi: 10.3389/fninf.2020.00023. eCollection 2020.

¹ School of Mathematical and Statistical Sciences, School of Life Sciences, Arizona State University, Tempe, AZ, United States.
² Department of Integrative and Computational Neuroscience, Paris-Saclay Institute of Neuroscience, CNRS/Université Paris-Saclay, Gif-sur-Yvette, France.
³ Department of Biostatistics and Center for Medical Informatics, Yale University, New Haven, CT, United States.
⁴ Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
⁵ Institute of Neuroscience and Medicine (INM-6), Jülich Research Centre, Jülich, Germany.

No abstract available

Keywords: code generation; model parameterization; model sharing; model validation; replicability; reproducible research.

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