Putting big data to good use in neuroscience

被引：164

作者：

Sejnowski, Terrence J. ^{[1
,2
]}

Churchland, Patricia S. ^{[1
,3
]}

Movshon, J. Anthony ^{[4
]}

机构：

[1] Salk Inst Biol Studies, Howard Hughes Med Inst, La Jolla, CA 92037 USA

[2] Univ Calif San Diego, Div Biol Sci, San Diego, CA 92103 USA

[3] Univ Calif San Diego, Dept Philosophy, San Diego, CA 92103 USA

[4] NYU, Ctr Neural Sci, New York, NY 10003 USA

来源：

NATURE NEUROSCIENCE | 2014年 / 17卷 / 11期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1038/nn.3839

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Big data has transformed fields such as physics and genomics. Neuroscience is set to collect its own big data sets, but to exploit its full potential, there need to be ways to standardize, integrate and synthesize diverse types of data from different levels of analysis and across species. This will require a cultural shift in sharing data across labs, as well as to a central role for theorists in neuroscience research.

引用

页码：1440 / 1441

页数：2

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