论文标题

由大数据驱动的神经科学的范式转变:最先进的,挑战和概念证明

A Paradigm Shift in Neuroscience Driven by Big Data: State of art, Challenges, and Proof of Concept

论文作者

Zhou, Zi-Xuan, Zuo, Xi-Nian

论文摘要

最近的社论指出,认知神经科学处于十字路口,这是一个棘手的问题,可以可靠地揭示大脑行为的关联。该评论为认知神经科学(即种群神经科学)概述了一种大数据科学。在设计,分析和解释方面,人群神经科学研究将设计控制提升到前所未有的水平,极大地扩大了数据分析空间的维度,并铺平了范式的转变,以探索有关大脑行为协会的机制。

A recent editorial in Nature noted that cognitive neuroscience is at a crossroads where it is a thorny issue to reliably reveal brain-behavior associations. This commentary sketches a big data science way out for cognitive neuroscience, namely population neuroscience. In terms of design, analysis, and interpretations, population neuroscience research takes the design control to an unprecedented level, greatly expands the dimensions of the data analysis space, and paves a paradigm shift for exploring mechanisms on brain-behavior associations.

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