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Scaling prediction errors to reward variability benefits error-driven learning in humans
Effective error-driven learning requires individuals to adapt learning to environmental reward variability. The adaptive mechanism may involve decays in learning rate across subsequent trials, as shown previously, and rescaling of reward prediction errors. The present study investigated the influenc...
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| 出版年: | J Neurophysiol |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Physiological Society
2015
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4563025/ https://ncbi.nlm.nih.gov/pubmed/26180123 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/jn.00483.2015 |
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