A How-to-Model Guide for Neuroscience
A How-to-Model Guide for Neuroscience
复制标题
DOI：
10.1523/eneuro.0352-19.2019
复制
发表时间：
2020-01-01
期刊：
影响因子：
3.4
通讯作者：
Schrater, Paul R.
中科院分区：
文献类型：
--
作者：
Blohm, Gunnar;Kording, Konrad P.;Schrater, Paul R.
在神经科学中，模型有许多作用，包括驱动假设、明确假设、合成知识、进行实验预测以及促进医学应用。虽然经常教授特定的建模技术，但为给定现象或问题构建模型的过程通常是不透明的。在这里，通过指导我们在COSMO(计算感觉-运动神经科学)暑期学校的许多学生进行建模练习，我们提供了一个实用的10步建模过程的细分。这种方法使选择和标准更加明确和可复制。长期以来，神经科学一直在教授实验设计；建模过程也应该受到同样的关注。
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.