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Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations
Deep neural networks (DNNs) optimized for visual tasks learn representations that align layer depth with the hierarchy of visual areas in the primate brain. One interpretation of this finding is that hierarchical representations are necessary to accurately predict brain activity in the primate visua...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247700/ https://www.ncbi.nlm.nih.gov/pubmed/37286563 http://dx.doi.org/10.1038/s41467-023-38674-4 |