Measuring behavior across scales.

Measuring behavior across scales.
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DOI:
10.1186/s12915-018-0494-7
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发表时间:
2018-02-23
期刊:
影响因子:
5.4
通讯作者:
Berman GJ
Berman GJ
中科院分区:
生物学2区
文献类型:
--
作者:
Berman GJ

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我们最近在测量和操控神经回路方面取得的成功,进一步凸显了对用于测量行为的高通量、精确且有意义的方法的需求。然而,朝着这个方向发展所面临的最大挑战并非技术层面的,而是概念层面的:对于动物正在进行(或未进行)的动作,应该用哪些数据来加以描述呢?在这篇综述中,我将阐述理论和数据分析理念如何与近期开发的计算及实验方法相结合,以便在各种情境、长度尺度和时间尺度下回答这些问题。我将努力突出不同方法之间的共性,以及为使行为研究与其他科学领域处于同等量化基础而仍需进一步取得进展的领域。
The need for high-throughput, precise, and meaningful methods for measuring behavior has been amplified by our recent successes in measuring and manipulating neural circuitry. The largest challenges associated with moving in this direction, however, are not technical but are instead conceptual: what numbers should one put on the movements an animal is performing (or not performing)? In this review, I will describe how theoretical and data analytical ideas are interfacing with recently-developed computational and experimental methodologies to answer these questions across a variety of contexts, length scales, and time scales. I will attempt to highlight commonalities between approaches and areas where further advances are necessary to place behavior on the same quantitative footing as other scientific fields.
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