Input Complexity Affects Long-Term Retention of Statistically Learned Regularities in an Artificial Language Learning Task

Statistical learning (SL) involving sensitivity to distributional regularities in the environment has been suggested to be an important factor in many aspects of cognition, including language. However, the degree to which statistically-learned information is retained over time is not well understood...

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Veröffentlicht in:Front Hum Neurosci
Hauptverfasser: Jost, Ethan, Brill-Schuetz, Katherine, Morgan-Short, Kara, Christiansen, Morten H.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2019
Schlagworte:
Neuroscience
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6803473/
https://ncbi.nlm.nih.gov/pubmed/31680911
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2019.00358
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