Discovering Event Structure in Continuous Narrative Perception and Memory. Baldassano, C., Chen, J., Zadbood, A., Pillow, J. W., Hasson, U., & Norman, K. A. Neuron, 95(3):709–721.e5, 2017. ![Discovering Event Structure in Continuous Narrative Perception and Memory [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex During realistic, continuous perception, humans automatically segment experiences into discrete events. Using a novel model of cortical event dynamics, we investigate how cortical structures generate event representations during narrative perception and how these events are stored to and retrieved from memory. Our data-driven approach allows us to detect event boundaries as shifts between stable patterns of brain activity without relying on stimulus annotations and reveals a nested hierarchy from short events in sensory regions to long events in highorder areas (including angular gyrus and posterior medial cortex), which represent abstract, multimodal situation models. High-order event boundaries are coupled to increases in hippocampal activity, which predict pattern reinstatement during later free recall. These areas also show evidence of anticipatory reinstatement as subjects listen to a familiar narrative. Based on these results, we propose that brain activity is naturally structured into nested events, which form the basis of long-term memory representations.
@article{baldassano_discovering_2017,
title = {Discovering {Event} {Structure} in {Continuous} {Narrative} {Perception} and {Memory}},
volume = {95},
issn = {08966273},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0896627317305937},
doi = {10.1016/j.neuron.2017.06.041},
abstract = {During realistic, continuous perception, humans automatically segment experiences into discrete events. Using a novel model of cortical event dynamics, we investigate how cortical structures generate event representations during narrative perception and how these events are stored to and retrieved from memory. Our data-driven approach allows us to detect event boundaries as shifts between stable patterns of brain activity without relying on stimulus annotations and reveals a nested hierarchy from short events in sensory regions to long events in highorder areas (including angular gyrus and posterior medial cortex), which represent abstract, multimodal situation models. High-order event boundaries are coupled to increases in hippocampal activity, which predict pattern reinstatement during later free recall. These areas also show evidence of anticipatory reinstatement as subjects listen to a familiar narrative. Based on these results, we propose that brain activity is naturally structured into nested events, which form the basis of long-term memory representations.},
language = {en},
number = {3},
urldate = {2019-08-12},
journal = {Neuron},
author = {Baldassano, Christopher and Chen, Janice and Zadbood, Asieh and Pillow, Jonathan W. and Hasson, Uri and Norman, Kenneth A.},
year = {2017},
keywords = {topic 2 presentation},
pages = {709--721.e5},
}
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