NeuroscienceJournal of Memory and LanguagePeer-reviewed
When less is more: Enhanced statistical learning of non-adjacent dependencies after disruption of bilateral DLPFC
Géza Gergely Ambrus, Teodóra Vékony, Karolina Janacsek…·Dezső Németh
This study shows that disrupting the DLPFC with TMS improves statistical learning of non-adjacent dependencies, suggesting a shift from model-based to model-free learning.
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