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Latent structure in random sequences drives neural learning toward a rational bias
People generally fail to produce random sequences by overusing alternating patterns and avoiding repeating ones—the gambler’s fallacy bias. We can explain the neural basis of this bias in terms of a biologically motivated neural model that learns from errors in predicting what will happen next. Thro...
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| Publié dans: | Proc Natl Acad Sci U S A |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
National Academy of Sciences
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4378445/ https://ncbi.nlm.nih.gov/pubmed/25775565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1422036112 |
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