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,...

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Detalles Bibliográficos
Autores principales: Sexton, Nicholas J., Love, Bradley C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Neuroscience
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

Internet

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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