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Combining Real-Time Neuroimaging with Machine Learning to Study Attention to Familiar Faces during Infancy: A Proof of Principle Study
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Description: This study is part of the Behaviour and Online Neuroimaging to study the Development of Socialisation (BONDS) project, that uses non-invasive neuroimaging techniques (EEG and fNIRS) to obtain brain data in real time and inform a Bayesian Optimization algorithm on the characteristics of visual and auditory stimuli that elicit stronger activation in the social brain. We combine this output with parent-report of infant social skills and temperament characteristics and in-lab behavioural observations (e.g., parent-child interaction) to understand individual differences in developmental trajectories of socialisation.
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