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Neural representations of events arise from temporal community structure
Open accessAbstract
Our experience of the world seems to divide naturally into discrete, temporally extended events, yet the mechanisms underlying the learning and identification of events are poorly understood. Research on event perception has focused on transient elevations in predictive uncertainty or surprise as the primary signal driving event segmentation. We present human behavioral and functional magnetic resonance imaging (fMRI) evidence in favor of a different account, in which event representations coalesce around clusters or 'communities' of mutually predicting stimuli. Through parsing behavior, fMRI adaptation and multivoxel pattern analysis, we demonstrate the emergence of event representations in a domain containing such community structure, but in which transition probabilities (the basis of uncertainty and surprise) are uniform. We present a computational account of how the relevant representations might arise, proposing a direct connection between event learning and the learning of semantic categories.
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Metadata
- Authors
- Schapiro, A. C., Rogers, T. T., Cordova, N. I., Turk-Browne, N. B., & Botvinick, M. M.
- Affiliations
- Princeton University (US)
- University of Wisconsin–Madison (US)
- Corresponding author
- Schapiro, Anna C
- Venue
- Nature Neuroscience
- Published
- 2013-02-17
- Volume
- 16
- Issue
- 4
- Pages
- 486-492
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC3749823
- OpenAlex
- W2016723506
- Cited by
- 556
- References
- 54
- Citations by year
- 2026: 32 · 2025: 41 · 2024: 63 · 2023: 53 · 2022: 50 · 2021: 103 · 2020: 54 · 2019: 53 · 2018: 35 · 2017: 19 · 2016: 10 · 2015: 20 · 2014: 19 · 2013: 4
- FWCI
- 9.69
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Eye Institute (R01EY021755)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- event perception, event segmentation, forecast uncertainty, surprise, neural adaptation, multi-voxel pattern analysis, transition probabilities
- MeSH terms
- Adolescent, Adult, Brain, Female, Humans, Learning, Magnetic Resonance Imaging, Male, Photic Stimulation, Psychomotor Performance, Time Factors, Neural Networks, Computer, Computational Biology, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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