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  Brain responses reveal that infants’ face discrimination is guided by statistical learning from distributional information

Altvater-Mackensen, N., Jessen, S., & Grossmann, T. (2017). Brain responses reveal that infants’ face discrimination is guided by statistical learning from distributional information. Developmental Science, 20(2): e12393. doi:10.1111/desc.12393.

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 Creators:
Altvater-Mackensen, Nicole1, Author           
Jessen, Sarah1, Author           
Grossmann, Tobias2, Author           
Affiliations:
1Max Planck Research Group Early Social Development, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356545              
2Department of Psychology, University of Virginia, Charlottesville, VA, USA, ou_persistent22              

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 Abstract: Infants' perception of faces becomes attuned to the environment during the first year of life. However, the mechanisms that underpin perceptual narrowing for faces are only poorly understood. Considering the developmental similarities seen in perceptual narrowing for faces and speech and the role that statistical learning has been shown to play for speech, the current study examined whether and how learning from distributional information impacts face identity discrimination. We familiarized 6.5-month-old infants with exemplars of female faces taken from a morphed continuum going from one identity to another. Using event-related brain potentials (ERPs), we show that only infants who were familiarized with a bimodal frequency distribution, but not infants familiarized with a unimodal frequency distribution, discriminated between identities. These results are the first to demonstrate the influence of probabilistic information on infants' face identity discrimination, suggesting that statistical learning contributes to perceptual attunement for both faces and language.

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Language(s): eng - English
 Dates: 2015-06-162015-11-112016-03-062017-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/desc.12393
PMID: 26946075
Other: Epub 2016
 Degree: -

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Title: Developmental Science
  Other : Dev. Sci.
Source Genre: Journal
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Publ. Info: Oxford, UK : Blackwell
Pages: - Volume / Issue: 20 (2) Sequence Number: e12393 Start / End Page: - Identifier: ISSN: 1363-755X
CoNE: https://pure.mpg.de/cone/journals/resource/963018343339