ロード中...
Bayesian vector autoregressive model for multi‐subject effective connectivity inference using multi‐modal neuroimaging data
In this article a multi‐subject vector autoregressive (VAR) modeling approach was proposed for inference on effective connectivity based on resting‐state functional MRI data. Their framework uses a Bayesian variable selection approach to allow for simultaneous inference on effective connectivity at...
保存先:
| 出版年: | Hum Brain Mapp |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2016
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6827879/ https://ncbi.nlm.nih.gov/pubmed/27862625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.23456 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|