计算机科学
介绍(产科)
选择(遗传算法)
系统建模
管理科学
建模与仿真
人工智能
系统工程
软件工程
模拟
工程类
医学
放射科
出处
期刊:NeuroImage
[Elsevier]
日期:2022-11-01
卷期号:263: 119622-119622
标识
DOI:10.1016/j.neuroimage.2022.119622
摘要
Modeling a natural system such as the brain aims to deepen understanding and to help to explain and link multiple phenomena into a coherent picture. In any specific case, this requires a clear view of the aims of each modeling project, followed by coordinated selection of the model's style and components; theoretical, numerical, and statistical analysis methods; distillation and presentation of results; and resulting well supported conclusions. The ten rules presented here apply to modeling of the brain and other systems and are designed to assist in carrying out integrated modeling with valid and well-supported outcomes that effectively achieve the modeling aims; referees can also use them when assessing the validity of modeling in submitted manuscripts.
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