叙述的
计算机科学
理解力
多样性(控制论)
水准点(测量)
元数据
数据收集
神经影像学
自然主义
心理学
自然语言处理
人工智能
语言学
万维网
神经科学
大地测量学
程序设计语言
数学
统计
哲学
地理
认识论
作者
Samuel A. Nastase,Yunfei Liu,Hanna Hillman,Asieh Zadbood,Liat Hasenfratz,Neggin Keshavarzian,Janice Chen,Christopher J. Honey,Yaara Yeshurun,Mor Regev,Mai Nguyen,Claire H. C. Chang,Christopher Baldassano,Olga Lositsky,Erez Simony,Michael A. Chow,Yuan Chang Leong,Paula P. Brooks,Emily Micciche,Gina Choe
标识
DOI:10.1101/2020.12.23.424091
摘要
Abstract The “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging.
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