Nitzan Censor

The paper investigates how training and reminders affect visual skill learning, finding that reminders can be as effective as full training in certain contexts.

The paper shows that during non-REM sleep, plasticity increases in the DLPFC, while during REM sleep, stability increases in the mPFC, both related to E/I balance changes and learning outcomes.

This study uses machine learning to predict individual skill learning from initial performance data, finding strong correlations between initial and final performance but no predictive power of the models.