Centre for Neuroscience Research, Queen's University, Kingston, Ontario K7L 3N6, Canada
Departments of Bioengineering and Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
eNeuro. 2020 Feb 14;7(1). doi: 10.1523/ENEURO.0352-19.2019. Print 2020 Jan/Feb.
Within neuroscience, models have many roles, including driving hypotheses, making assumptions explicit, synthesizing knowledge, making experimental predictions, and facilitating applications to medicine. While specific modeling techniques are often taught, the process of constructing models for a given phenomenon or question is generally left opaque. Here, informed by guiding many students through modeling exercises at our summer school in CoSMo (Computational Sensory-Motor Neuroscience), we provide a practical 10-step breakdown of the modeling process. This approach makes choices and criteria more explicit and replicable. Experiment design has long been taught in neuroscience; the modeling process should receive the same attention.
在神经科学领域,模型有多种作用,包括驱动假说、明确假设、综合知识、进行实验预测以及促进医学应用。虽然通常会教授具体的建模技术,但构建针对给定现象或问题的模型的过程通常是不透明的。在这里,我们借鉴了在 CoSMo(计算感觉运动神经科学)暑期学校指导许多学生进行建模练习的经验,为建模过程提供了一个实用的 10 步分解。这种方法使选择和标准更加明确和可复制。实验设计在神经科学中已经讲授了很长时间;建模过程也应该得到同样的重视。