Toward standard practices for sharing computer code and programs in neuroscience

被引：59

作者：

Eglen, Stephen J. ^{[1
]}

Marwick, Ben ^{[2
]}

Halchenko, Yaroslav O. ^{[3
]}

Hanke, Michael ^{[4
,5
]}

Sufi, Shoaib ^{[6
]}

Gleeson, Padraig ^{[7
]}

Silver, R. Angus ^{[7
]}

Davison, Andrew P. ^{[8
]}

Lanyon, Linda ^{[9
]}

Abrams, Mathew ^{[9
]}

Wachtler, Thomas ^{[10
]}

Willshaw, David J. ^{[11
]}

Pouzat, Christophe ^{[12
,13
]}

Poline, Jean-Baptiste ^{[14
]}

机构：

[1] Univ Cambridge, Cambridge Computat Biol Inst, Dept Appl Math & Theoret Phys, Cambridge, England

[2] Univ Washington, Dept Anthropol, Seattle, WA 98195 USA

[3] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA

[4] Otto von Guericke Univ, Inst Psychol 2, Magdeburg, Germany

[5] Ctr Behav Brain Sci, Magdeburg, Germany

[6] Univ Manchester, Software Sustainabil Inst, Manchester, Lancs, England

[7] UCL, Dept Neurosci Physiol & Pharmacol, London, England

[8] CNRS, Unite Neurosci Informat & Complexite, Gif Sur Yvette, France

[9] Karolinska Inst, Int Neuroinformat Coordinating Facil, Stockholm, Sweden

[10] Ludwig Maximilians Univ Munchen, Dept Biol 2, Munich, Germany

[11] Univ Edinburgh, Sch Informat, Inst Adapt & Neural Computat, Edinburgh, Midlothian, Scotland

[12] Paris Descartes Univ, MAP5, Paris, France

[13] CNRS, UMR 8145, Paris, France

[14] Univ Calif Berkeley, Helen Wills Neurosci Inst, Henry H Wheeler Jr Brain Imaging Ctr, Berkeley, CA USA

来源：

NATURE NEUROSCIENCE | 2017年 / 20卷 / 06期

关键词：

REPRODUCIBILITY; TRANSPARENCY; FRAMEWORK; SUPPORT;

D O I：

10.1038/nn.4550

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Computational techniques are central in many areas of neuroscience and are relatively easy to share. This paper describes why computer programs underlying scientific publications should be shared and lists simple steps for sharing. Together with ongoing efforts in data sharing, this should aid reproducibility of research.

引用

页码：770 / 773

页数：4

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