Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants | Zendy

Renata Di Lorenzo | Zendy; Carlijn van den Boomen | Zendy; Chantal Kemner | Zendy; Caroline Junge | Zendy

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Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants

Author(s) -

Renata Di Lorenzo,

Carlijn van den Boomen,

Chantal Kemner,

Caroline Junge

Publication year - 2020

Publication title -

developmental cognitive neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.662

H-Index - 64

eISSN - 1878-9307

pISSN - 1878-9293

DOI - 10.1016/j.dcn.2020.100840

Subject(s) - categorization , psychology , developmental psychology , electroencephalography , cognitive psychology , face (sociological concept) , face perception , longitudinal study , child development , perception , artificial intelligence , neuroscience , statistics , computer science , social science , sociology , mathematics

Highlights• We report longitudinal ERP data of 80 infants in a face-discrimination task. • P1, N290, Nc are all sensitive to faces in five-month-olds. • P1, N290, Nc show equal face-categorization in infants tested longitudinally. • N290 shows less variation in face-categorization trajectories than P1 or Nc. • Visual ERPs increase in amplitude over infancy, but this is not face-specific.

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