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Towards readable code in neuroscience

Nature Reviews Neuroscience volume 22, pages 257–258 (2021)Cite this article

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Code has become central to neuroscience, and the neuroscience community must take steps to ensure its reproducibility and best coding practices. Improving code readability benefits individual researchers and the wider neuroscience community.

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Acknowledgements

The authors gratefully acknowledge S. Eglen, J. Kirchner and G. Laurent for helpful feedback.

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Authors and Affiliations

  1. Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Frankfurt, Germany

    Juan Luis Riquelme & Julijana Gjorgjieva

  2. School of Life Sciences, Technical University of Munich, Freising, Germany

    Juan Luis Riquelme & Julijana Gjorgjieva

Authors
  1. Juan Luis Riquelme
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  2. Julijana Gjorgjieva
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Corresponding author

Correspondence to Julijana Gjorgjieva.

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The authors declare no competing interests.

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Related links

FENS (Federation of European Neuroscience Societies) Job Market: https://www.fens.org/News-Activities/Jobs/?pid=509%7C508&key=python%7Cmatlab%7Cprogramming

Git: https://git-scm.com/

Guide for reproducible research: https://the-turing-way.netlify.app/reproducible-research/reproducible-research.html

How to cite and describe software: https://www.software.ac.uk/how-cite-software

Jupyter: https://jupyter.org/

Nature journals’ reporting standards and availability: https://www.nature.com/nature-research/editorial-policies/reporting-standards

NEST: https://www.nest-simulator.org/publications/index.php

Research software engineers: https://researchsoftware.org/

The Carpentries: https://carpentries.org/

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Riquelme, J.L., Gjorgjieva, J. Towards readable code in neuroscience. Nat Rev Neurosci 22, 257–258 (2021). https://doi.org/10.1038/s41583-021-00450-y

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