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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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| Publicado en: | PLoS Comput Biol |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | 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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