Modeling naturalistic face processing in humans with deep convolutional neural networks

Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The ways in which the internal face representations in DCNNs relate to human cognitive representations and brain activity are not well understood. Nearly all previous studies...

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Detalles Bibliográficos
Autores principales: Jiahui, Guo, Feilong, Ma, Visconti di Oleggio Castello, Matteo, Nastase, Samuel A., Haxby, James V., Gobbini, M. Ida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Social Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614847/
https://www.ncbi.nlm.nih.gov/pubmed/37847731
http://dx.doi.org/10.1073/pnas.2304085120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614847/
https://www.ncbi.nlm.nih.gov/pubmed/37847731
http://dx.doi.org/10.1073/pnas.2304085120

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