首页> Network neuroscience (Cambridge, Mass.)> A transformer model for learning spatiotemporal contextual representation in fMRI data.

A transformer model for learning spatiotemporal contextual representation in fMRI data.

导出 LinkOut

翻译打印收藏纠错

第一作者： Nima,Asadi

第一单位： Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, USA.

作者： Nima,Asadi ^[1] ; Ingrid R,Olson ^[2] ; Zoran,Obradovic ^[1]

作者单位： Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, USA. ^[1] Department of Psychology and Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA, USA.;Decision Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA, USA. ^[2]

关键词 Attention mechanism Deep learning Dynamic functional connectivity Feature learning Graph convolution networks Transformer models

DOI 10.1162/netn_a_00281

PMID 37334006

发布时间 2023-09-23

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Network neuroscience (Cambridge, Mass.)

2023年7卷1期

22-47页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Network neuroscience (Cambridge, Mass.)

2023年7卷1期

22-47页

检索历史清除

A transformer model for learning spatiotemporal contextual representation in fMRI data.

Network neuroscience (Cambridge, Mass.)

相似文献

Network neuroscience (Cambridge, Mass.)

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

A transformer model for learning spatiotemporal contextual representation in fMRI data.

Network neuroscience (Cambridge, Mass.)

相似文献

Network neuroscience (Cambridge, Mass.)

相关期刊

检索历史清除