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  Neural event segmentation of continuous experience in human infants

Yates, T. S., Skalaban, L. J., Ellis, C. T., Bracher, A., Baldassano, C., & Turk-Browne, N. B. (2022). Neural event segmentation of continuous experience in human infants. Proceedings of the National Academy of Sciences of the United States of America, 119(43): e2200257119. doi:10.1073/pnas.2200257119.

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 Creators:
Yates, Tristan S.1, Author
Skalaban, Lena J.1, Author
Ellis, Cameron T.2, Author
Bracher, Angelika3, 4, Author           
Baldassano, Christopher5, Author
Turk-Browne, Nicholas B.1, 6, Author
Affiliations:
1Department of Psychology, Yale University, New Haven, CT, USA, ou_persistent22              
2Department of Psychology, Stanford University, CA, USA, ou_persistent22              
3International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2616696              
4Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, University of Leipzig, Germany, ou_persistent22              
5Department of Psychology, Columbia University in the City of New York, NY, USA, ou_persistent22              
6Wu Tsai Neurosciences Institute, Stanford University, CA, USA, ou_persistent22              

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Free keywords: Early development; Event cognition; fMRI; Naturalistic movies; Timescale hierarchy
 Abstract: How infants experience the world is fundamental to understanding their cognition and development. A key principle of adult experience is that, despite receiving continuous sensory input, we perceive this input as discrete events. Here we investigate such event segmentation in infants and how it differs from adults. Research on event cognition in infants often uses simplified tasks in which (adult) experimenters help solve the segmentation problem for infants by defining event boundaries or presenting discrete actions/vignettes. This presupposes which events are experienced by infants and leaves open questions about the principles governing infant segmentation. We take a different, data-driven approach by studying infant event segmentation of continuous input. We collected whole-brain functional MRI (fMRI) data from awake infants (and adults, for comparison) watching a cartoon and used a hidden Markov model to identify event states in the brain. We quantified the existence, timescale, and organization of multiple-event representations across brain regions. The adult brain exhibited a known hierarchical gradient of event timescales, from shorter events in early visual regions to longer events in later visual and associative regions. In contrast, the infant brain represented only longer events, even in early visual regions, with no timescale hierarchy. The boundaries defining these infant events only partially overlapped with boundaries defined from adult brain activity and behavioral judgments. These findings suggest that events are organized differently in infants, with longer timescales and more stable neural patterns, even in sensory regions. This may indicate greater temporal integration and reduced temporal precision during dynamic, naturalistic perception.

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Language(s): eng - English
 Dates: 2022-01-092022-08-092022-10-172022-10-25
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.2200257119
Other: epub 2022
PMID: 36252007
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Grant ID : 1752134
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Funding organization : NSF Graduate Research Fellowship
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Funding organization : Department of Psychology and Faculty of Arts and Sciences at Yale University
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Funding organization : Canadian Institute for Advanced Research
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Funding organization : James S. McDonnell Foundation

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 119 (43) Sequence Number: e2200257119 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230