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Signals in Human Striatum Are Appropriate for Policy Update Rather than Value Prediction
Influential reinforcement learning theories propose that prediction error signals in the brain's nigrostriatal system guide learning for trial-and-error decision-making. However, since different decision variables can be learned from quantitatively similar error signals, a critical question is:...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society for Neuroscience
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3132551/ https://ncbi.nlm.nih.gov/pubmed/21471387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/JNEUROSCI.6316-10.2011 |
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