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廷伯根行为神经科学的挑战。

Tinbergen's challenge for the neuroscience of behavior.

机构信息

Laboratory of Neurobiology and Behavior, The Rockefeller University, New York, NY 10065;

Laboratory of Neurobiology and Behavior, The Rockefeller University, New York, NY 10065.

出版信息

Proc Natl Acad Sci U S A. 2019 May 14;116(20):9704-9710. doi: 10.1073/pnas.1903589116. Epub 2019 Apr 29.

Abstract

Nobel laureate Nikolaas Tinbergen provided clear criteria for declaring a neuroscience problem solved, criteria which despite the passage of more than 50 years and vastly expanded neuroscience tool kits remain applicable today. Tinbergen said for neuroscientists to claim that a behavior is understood, they must correspondingly understand its () development and its () mechanisms and its () function and its () evolution. Now, all four of these domains represent hotbeds of current experimental work, each using arrays of new techniques which overlap only partly. Thus, as new methodologies come online, from single-nerve-cell RNA sequencing, for example, to smart FISH, large-scale calcium imaging from cortex and deep brain structures, computational ethology, and so on, one person, however smart, cannot master everything. Our response to the likely "fracturing" of neuroscience recognizes the value of ever larger consortia. This response suggests new kinds of problems for () funding and () the fair distribution of credit, especially for younger scientists.

摘要

诺贝尔奖得主尼古拉·廷贝亨(Nikolaas Tinbergen)为宣布一个神经科学问题得到解决提供了明确的标准,尽管已经过去了 50 多年,神经科学工具包也大大扩展,但这些标准在今天仍然适用。廷贝亨说,神经科学家要声称理解一种行为,他们必须相应地理解其()发展、()机制、()功能和()进化。现在,这四个领域都是当前实验工作的热点,每个领域都使用重叠部分很少的一系列新技术。因此,随着新的方法学的出现,例如从单细胞 RNA 测序到智能 FISH、皮质和深部脑结构的大规模钙成像、计算行为学等,即使是再聪明的人,也无法掌握所有的技术。我们对神经科学可能出现的“分裂”的回应,认识到更大规模联合体的价值。这种回应为()资金和()信用的公平分配提出了新的问题,特别是对年轻科学家而言。

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