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Limits to visual representational correspondence between convolutional neural networks and the human brain
Convolutional neural networks (CNNs) are increasingly used to model human vision due to their high object categorization capabilities and general correspondence with human brain responses. Here we evaluate the performance of 14 different CNNs compared with human fMRI responses to natural and artific...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024324/ https://www.ncbi.nlm.nih.gov/pubmed/33824315 http://dx.doi.org/10.1038/s41467-021-22244-7 |