4.3 Article Book Chapter

Statistical Connectomics

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev-statistics-042720-023234

关键词

connectomics; networks; graphs; statistical models

资金

  1. Defense Advanced Research Projects Agency (DARPA) [FA8650-18-2-7834, FA8750-17-2-0112]
  2. Microsoft Research

向作者/读者索取更多资源

The field of network data science is rapidly evolving with numerous applications. In neuroscience, the brain is often modeled as a connectome, but the statistics of networks are still limited and poorly understood. Through the lens of statistical network science, further development and application of statistically grounded methods in connectomics can be promoted.
The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain is commonly modeled as a connectome, a network of nodes connected by edges. While there have been thousands of papers on connectomics, the statistics of networks remains limited and poorly understood. Here, we provide an overview from the perspective of statistical network science of the kinds of models, assumptions, problems, and applications that are theoretically and empirically justified for analysis of connectome data. We hope this review spurs further development and application of statistically grounded methods in connectomics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据