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Optimal structure of metaplasticity for adaptive learning

Learning from reward feedback in a changing environment requires a high degree of adaptability, yet the precise estimation of reward information demands slow updates. In the framework of estimating reward probability, here we investigated how this tradeoff between adaptability and precision can be m...

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Pubblicato in:PLoS Comput Biol
Autori principali: Khorsand, Peyman, Soltani, Alireza
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2017
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5509349/
https://ncbi.nlm.nih.gov/pubmed/28658247
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005630
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