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 (...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |