文献
J-GLOBAL ID:202202290213464356
整理番号:22A0474786
Webアクセス可能なニューラル形態の効率的なメタデータマイニング【JST・京大機械翻訳】
Efficient metadata mining of web-accessible neural morphologies
著者 (3件):
Akram Masood A.
(Center for Neural Informatics, Structures & Plasticity, Krasnow Institute for Advanced Study, And Department of Bioengineering, Volgenau School of Engineering, George Mason University, Fairfax, 22030, VA, USA)
,
Ljungquist Bengt
(Center for Neural Informatics, Structures & Plasticity, Krasnow Institute for Advanced Study, And Department of Bioengineering, Volgenau School of Engineering, George Mason University, Fairfax, 22030, VA, USA)
,
Ascoli Giorgio A.
(Center for Neural Informatics, Structures & Plasticity, Krasnow Institute for Advanced Study, And Department of Bioengineering, Volgenau School of Engineering, George Mason University, Fairfax, 22030, VA, USA)
資料名:
Progress in Biophysics & Molecular Biology
(Progress in Biophysics & Molecular Biology)
巻:
168
ページ:
94-102
発行年:
2022年
JST資料番号:
H0337B
ISSN:
0079-6107
CODEN:
PBIMAC
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)