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Reassessing hierarchical correspondences between brain and deep networks through direct interface
Functional correspondences between deep convolutional neural networks (DCNNs) and the mammalian visual system support a hierarchical account in which successive stages of processing contain ever higher-level information. However, these correspondences between brain and model activity involve shared,...
Autores principales: | Sexton, Nicholas J., Love, Bradley C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278854/ https://www.ncbi.nlm.nih.gov/pubmed/35857493 http://dx.doi.org/10.1126/sciadv.abm2219 |
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