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Discovering Event Structure in Continuous Narrative Perception and Memory.


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 high-order 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.

SUBMITTER: Baldassano C 

PROVIDER: S-EPMC5558154 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Discovering Event Structure in Continuous Narrative Perception and Memory.

Baldassano Christopher C   Chen Janice J   Zadbood Asieh A   Pillow Jonathan W JW   Hasson Uri U   Norman Kenneth A KA  

Neuron 20170801 3


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 fro  ...[more]

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