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Models that learn how humans learn: The case of decision-making and its disorders
Popular computational models of decision-making make specific assumptions about learning processes that may cause them to underfit observed behaviours. Here we suggest an alternative method using recurrent neural networks (RNNs) to generate a flexible family of models that have sufficient capacity t...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6588260/ https://ncbi.nlm.nih.gov/pubmed/31185008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006903 |
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