从培根神经科学到波普神经科学。

Neural systems & circuits Pub Date : 2012-01-30 eCollection Date: 2012-01-01 DOI:10.1186/2042-1001-2-2
David Gamez
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引用次数: 9

摘要

过去50年神经科学的发展与17世纪物理学的发展有一些相似之处。在20世纪初,培根提倡系统地收集实验数据和归纳科学真理;最后,牛顿用一组简明的数学方程式表达了他的万有引力和运动原理,这些方程式做出了精确的可证伪的预测。这篇论文表达了这样一种观点,即随着神经科学的成熟,它需要摆脱收集大量关于大脑的数据,而采用一种popperian模型,在这种模型中,理论的发展可以做出强有力的可证伪的预测,并指导未来的实验工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From baconian to popperian neuroscience.

From baconian to popperian neuroscience.

The development of neuroscience over the past 50 years has some similarities with the development of physics in the 17th century. Towards the beginning of that century, Bacon promoted the systematic gathering of experimental data and the induction of scientific truth; towards the end, Newton expressed his principles of gravitation and motion in a concise set of mathematical equations that made precise falsifiable predictions. This paper expresses the opinion that as neuroscience comes of age, it needs to move away from amassing large quantities of data about the brain, and adopt a popperian model in which theories are developed that can make strong falsifiable predictions and guide future experimental work.

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