Sejnowski Terrence J, Churchland Patricia S, Movshon J Anthony
1] Howard Hughes Medical Institute, the Salk Institute for Biological Studies, La Jolla, California, USA. [2] Division of Biological Sciences, University of California at San Diego, La Jolla, California, USA.
1] Howard Hughes Medical Institute, the Salk Institute for Biological Studies, La Jolla, California, USA. [2] Department of Philosophy, University of California at San Diego, La Jolla, California, USA.
Nat Neurosci. 2014 Nov;17(11):1440-1. doi: 10.1038/nn.3839.
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.
大数据已经改变了物理学和基因组学等领域。神经科学即将收集自己的大数据集,但要充分发挥其潜力,就需要有方法来规范、整合和综合来自不同分析层面和跨物种的各种类型的数据。这将需要在跨实验室共享数据方面进行文化转变,以及让理论家在神经科学研究中发挥核心作用。