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Asieh Zadbood
Researcher at Princeton University
Publications - 13
Citations - 979
Asieh Zadbood is an academic researcher from Princeton University. The author has contributed to research in topics: Recall & Event structure. The author has an hindex of 7, co-authored 10 publications receiving 582 citations. Previous affiliations of Asieh Zadbood include Seoul National University & Shahid Beheshti University of Medical Sciences and Health Services.
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Journal ArticleDOI
Discovering Event Structure in Continuous Narrative Perception and Memory
Christopher Baldassano,Janice Chen,Asieh Zadbood,Jonathan W. Pillow,Uri Hasson,Kenneth A. Norman +5 more
TL;DR: It is proposed that brain activity is naturally structured into nested events, which form the basis of long-term memory representations, which represent abstract, multimodal situation models.
Journal ArticleDOI
How We Transmit Memories to Other Brains: Constructing Shared Neural Representations Via Communication
TL;DR: It is reported, for the first time, that event-specific neural patterns observed in the default mode network are shared across the encoding, recall, and construction of the same real-life episode.
Posted ContentDOI
Discovering event structure in continuous narrative perception and memory
Christopher Baldassano,Janice Chen,Asieh Zadbood,Jonathan W. Pillow,Uri Hasson,Kenneth A. Norman +5 more
TL;DR: This work provides the first direct evidence that narrative event boundaries in high-order areas (overlapping the default mode network) trigger encoding processes in the hippocampus, and that this encoding activity predicts pattern reinstatement during recall.
Journal ArticleDOI
Stimulus Fractionation by Interocular Suppression
TL;DR: Using continuous flash suppression to produce binocular rivalry, this work was able to identify stimulus conditions where most – but not all – people utterly fail to distinguish physical from phenomenal stimulus removal, although it is certain that those two equivalent perceptual states are accompanied by distinct neural events.
Posted ContentDOI
Narratives: fMRI data for evaluating models of naturalistic language comprehension
Samuel A. Nastase,Yun-Fei 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,Erez Simony,Michael Chow,Yuan Chang Leong,Paula P. Brooks,Emily Micciche,Gina Choe,Ariel Goldstein,Tamara Vanderwal,Yaroslav O. Halchenko,Kenneth A. Norman,Uri Hasson +25 more
TL;DR: The Narratives collection as discussed by the authors collects a variety of functional MRI datasets collected while human subjects listen to naturalistic spoken stories and provides rich metadata, preprocessed versions of the data ready for immediate use and the spoken story stimuli with time-stamped phoneme-and word-level transcripts.