Emily Phillips

The paper investigates how endogenous oscillatory rhythms and interactive contingencies influence infant attention during caregiver-infant interactions, finding that intrinsic cognitive processes, not caregiver behaviors, primarily control attention.

This study applies mTRF modelling to measure speech-brain tracking in naturalistic caregiver-infant interactions, showing optimal results with individual training on continuous data.

The paper examines how mutual gaze onsets during infant-caregiver interactions affect neural responses and inter-brain synchrony, finding sender-specific effects without increased synchrony.

The paper adapts an adult ICA component classifier for infant EEG data, showing improved performance in artifact removal and classification accuracy compared to both the original adult classifier and manual methods.

The paper introduces computational methods to analyze event-locked changes in neural connectivity between adults and children using dual EEG data.