Laurie Bayet

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My work explores the development of high-level, social perception development from infancy to adulthood, with particular focus on face perception in infancy.

I am fascinated by the relationship between mind and brain - the hidden landscapes of phenomenology to which the notion of representation is central. How do infants develop and learn to represent the world and others? How do these representational changes unfold as a function of plasticity, brain development, and experience? Can we use machine learning models of high-level perception to understand how infants learn?

To investigate these questions, I use behavioral data (looking times, eye-tracking, reaction times, signal detection) and neural data (EEG, fNIRS) from infants and adults along with computational methods such as multivariate pattern analysis (MVPA) and mixed effects modelling.


Contact:


Laboratories of Cognitive Neuroscience, Boston Children’s Hospital, 1 Autumn Street, Boston MA, 02215, USA.

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Last updated on Thu Dec 29 11:32:54 2016.