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Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity
Deep neural networks (DNNs) can resolve real-world categorization tasks with apparent human-level performance. However, true equivalence of behavioral performance between humans and their DNN models requires that their internal mechanisms process equivalent features of the stimulus. To develop such...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515012/ https://www.ncbi.nlm.nih.gov/pubmed/34693374 http://dx.doi.org/10.1016/j.patter.2021.100348 |