Gamez David
Neural Syst Circuits. 2012 Jan 30;2:2. doi: 10.1186/2042-1001-2-2. eCollection 2012.
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.
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。在那个世纪初,培根推动了实验数据的系统收集和科学真理的归纳;到了世纪末,牛顿用一组简洁的数学方程表达了他的引力和运动原理,这些方程做出了精确的、可证伪的预测。本文认为,随着神经科学走向成熟,它需要摆脱大量积累关于大脑的数据,转而采用一种波普尔式的模型,即发展出能够做出有力的、可证伪预测并指导未来实验工作的理论。