文献
J-GLOBAL ID:201802231476123389
整理番号:18A0800220
多被験者fMRIデータのための低ランク多変量一般線形モデルと脳応答比較のための非凸最適化アルゴリズム【JST・京大機械翻訳】
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison
著者 (8件):
Zhang Tingting
(Department of Statistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Pham Minh
(Department of Statistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Sun Jianhui
(Department of Statistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Yan Guofen
(Division of Biostatistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Li Huazhang
(Department of Statistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Sun Yinge
(Department of Statistics, University of Virginia, Charlottesville, VA 22904, USA)
,
Gonzalez Marlen Z.
(Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA)
,
Coan James A.
(Department of Psychology, University of Virginia, Charlottesville, VA 22904, USA)
資料名:
NeuroImage
(NeuroImage)
巻:
173
ページ:
580-591
発行年:
2018年
JST資料番号:
W3139A
ISSN:
1053-8119
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)