Poster de conférence
Résumé : Visual statistical learning refers to the ability to detect and extract regularities from the environment. Thus far, infancy research has mostly investigated this ability with post-exposure behavioural tasks which only reveal the outcome of learning. These tasks may also lead to ambiguous interpretations since there is no clear consensus about the directionality of the learning outcome. Steady-state visual evoked potentials (SSVEPs) can be acquired while learning occurs and can shed light onto the temporal course of learning. At present, SSVEPs investigations of the ongoing learning processes have been limited to the auditory domain (Choi et al., 2020). Here we use SSVEPs to investigate infants’ neural entrainment in response to visual regularities. Four- to six-month-old infants were presented with 20 s continuous streams of shapes at 6 Hz. They were randomly assigned to one of three conditions: standard doublet, control doublet, and random. We compared SSVEPs at the frequency of visual stimulation (6 Hz and harmonics) and at the doublet frequency (3 Hz and harmonics) across conditions. If the condition included visual regularities, we hypothesised a progressive response at 3 Hz. Results revealed neural entrainment at the base frequency that did not differ across conditions. On the other side, activity at the doublet frequency varied across conditions. Infants assigned to the standard doublet condition showed significantly greater responses at the doublet frequency compared to the random condition. Overall, these results suggest that the infant brain can detect visual regularities in a stream of shapes from very early on.

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