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Cited by 238

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The brain’s cutting-room floor: segmentation of narrative cinema

Open access
Zacks, Jeffrey M.·2010·Frontiers in Human Neuroscience

Abstract

Observers segment ongoing activity into meaningful events. Segmentation is a core component of perception that helps determine memory and guide planning. The current study tested the hypotheses that event segmentation is an automatic component of the perception of extended naturalistic activity, and that the identification of event boundaries in such activities results in part from processing changes in the perceived situation. Observers may identify boundaries between events as a result of processing changes in the observed situation. To test this hypothesis and study this potential mechanism, we measured brain activity while participants viewed an extended narrative film. Large transient responses were observed when the activity was segmented, and these responses were mediated by changes in the observed activity, including characters and their interactions, interactions with objects, spatial location, goals, and causes. These results support accounts that propose event segmentation is automatic and depends on processing meaningful changes in the perceived situation; they are the first to show such effects for extended naturalistic human activity.

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Metadata

Authors
Zacks, J. M.
Venue
Frontiers in Human Neuroscience
Published
2010
Volume
4
ISSN
1662-5161 (ISSN-L)
OpenAlex
W2135192628
Cited by
238
References
6
FWCI
4.71
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The brain’s cutting-room floor: segmentation of narrative cinema. https://app.cochat.ai/papers/10.3389/fnhum.2010.00168
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Zacks, J. M. (2010). The brain’s cutting-room floor: segmentation of narrative cinema. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2010.00168

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.