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Unconscious reinforcement learning of hidden brain states supported by confidence
Can humans be trained to make strategic use of latent representations in their own brains? We investigate how human subjects can derive reward-maximizing choices from intrinsic high-dimensional information represented stochastically in neural activity. Reward contingencies are defined in real-time b...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459278/ https://www.ncbi.nlm.nih.gov/pubmed/32868772 http://dx.doi.org/10.1038/s41467-020-17828-8 |