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When forgetting fosters learning: A neural network model for Statistical Learning

Learning often requires splitting continuous signals into recurring units, such as the discrete words constituting fluent speech; these units then need to be encoded in memory. A prominent candidate mechanism involves statistical learning of co-occurrence statistics like transitional probabilities (...

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Bibliographic Details
Published in:Cognition
Main Authors: Endress, Ansgar D., Johnson, Scott P.
Format: Artigo
Language:Inglês
Published: 2021
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8324515/
https://ncbi.nlm.nih.gov/pubmed/33608130
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cognition.2021.104621
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