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Working Memory Load Strengthens Reward Prediction Errors
Reinforcement learning (RL) in simple instrumental tasks is usually modeled as a monolithic process in which reward prediction errors (RPEs) are used to update expected values of choice options. This modeling ignores the different contributions of different memory and decision-making systems thought...
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| Publicado en: | J Neurosci |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Society for Neuroscience
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5413179/ https://ncbi.nlm.nih.gov/pubmed/28320846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.2700-16.2017 |
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