Motor theories of action prediction propose that our motor system combines prior knowledge with incoming sensory input to predict other people's actions. This prior knowledge can be acquired through observational experience, with statistical learning being one candidate mechanism. But can knowledge learned through observation alone transfer into predictions generated in the motor system? To examine this question, we first trained infants at home with videos of an unfamiliar action sequence featuring statistical regularities. At test, motor activity was measured using EEG and compared during perceptually identical time windows within the sequence that preceded actions which were either predictable (deterministic) or not predictable (random). Findings revealed increased motor activity preceding the deterministic but not the random actions, providing the first evidence that the infant motor system can use knowledge from statistical learning to predict upcoming actions. As such, these results support theories in which the motor system underlies action prediction.

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This study investigated toddlers' ability to control simple alternating pattern actions, and how this relates to motor competence and executive functions. 70 toddlers between 24 and 36 months of age were instructed to sort coins in an alternating pattern into two boxes; left, right, left, right etc. Executive functions and memory competence performance were assessed in additional small games. The results showed that the ability to plan and execute actions according to a simple extended alternating pattern improved over toddlerhood. Furthermore, working memory and motor competence scores were both independent predictors of the ability to plan and execute simple alternating actions. These findings underscore the fact that between 24 and 36 months of age is a period in which the ability to string together multiple actions in a sequence to achieve a distal goal is still developing.

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