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Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images
Deep neural networks (DNNs) for object classification have been argued to provide the most promising model of the visual system, accompanied by claims that they have attained or even surpassed human-level performance. Here, we evaluated whether DNNs provide a viable model of human vision when tested...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659651/ https://www.ncbi.nlm.nih.gov/pubmed/34882676 http://dx.doi.org/10.1371/journal.pbio.3001418 |