Neuroadaptive Bayesian optimisation to study individual differences in infants' engagement with social cues.

ABSTRACT: Infants' motivation to engage with the social world depends on the interplay between individual brain's characteristics and previous exposure to social cues such as the parent's smile or eye contact. Different hypotheses about why specific combinations of emotional expressions and gaze direction engage children have been tested with group-level approaches rather than focusing on individual differences in the social brain development. Here, a novel Artificial Intelligence-enhanced brain-imaging approach, Neuroadaptive Bayesian Optimisation (NBO), was applied to infant electro-encephalography (EEG) to understand how selected neural signals encode social cues in individual infants. EEG data from 42 6- to 9-month-old infants looking at images of their parent's face were analysed in real-time a

SUBMITTER: Gui A 

PROVIDER: S-EPMC11225696 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature