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A Computational Model of Context‐Dependent Encodings During Category Learning
Although current exemplar models of category learning are flexible and can capture how different features are emphasized for different categories, they still lack the flexibility to adapt to local changes in category learning, such as the effect of different sequences of study. In this paper, we int...
Autores principales: | Carvalho, Paulo F., Goldstone, Robert L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285726/ https://www.ncbi.nlm.nih.gov/pubmed/35411959 http://dx.doi.org/10.1111/cogs.13128 |
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