Discovering Event Structure in Continuous Narrative Perception and Memory
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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.},
apice = {Baldassano2017},
author = {Christopher Baldassano and Janice Chen and Asieh Zadbood and Jonathan W. Pillow and Uri Hasson and Kenneth A. Norman},
doi = {10.1016/j.neuron.2017.06.041},
issn = {0896-6273},
journal = {Neuron},
month = {August},
number = 3,
numpages = 18,
openalex = {W2537240939},
pages = {709--721.e5},
pubmed = {28772125},
title = {Discovering Event Structure in Continuous Narrative Perception and Memory},
url = {https://www.cell.com/neuron/fulltext/S0896-6273(17)30593-7},
urlopenaccess = {https://pmc.ncbi.nlm.nih.gov/articles/PMC5558154/},
urlpdf = {https://www.cell.com/action/showPdf?pii=S0896-6273%2817%2930593-7},
volume = 95,
year = 2017
}