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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...

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Detalles Bibliográficos
Autores principales: Xu, Yaoda, Vaziri-Pashkam, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
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