Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces

Deep convolutional neural networks (DCNN) nowadays can match human performance in challenging complex tasks, but it remains unknown whether DCNNs achieve human-like performance through human-like processes. Here we applied a reverse-correlation method to make explicit representations of DCNNs and hu...

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Detalles Bibliográficos
Autores principales: Song, Yiying, Qu, Yukun, Xu, Shan, Liu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870475/
https://www.ncbi.nlm.nih.gov/pubmed/33574746
http://dx.doi.org/10.3389/fncom.2020.601314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870475/
https://www.ncbi.nlm.nih.gov/pubmed/33574746
http://dx.doi.org/10.3389/fncom.2020.601314

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