Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex

Deep Convolutional Neural Networks (CNNs) are gaining traction as the benchmark model of visual object recognition, with performance now surpassing humans. While CNNs can accurately assign one image to potentially thousands of categories, network performance could be the result of layers that are tu...

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Detalles Bibliográficos
Autores principales: Zeman, Astrid A., Ritchie, J. Brendan, Bracci, Stefania, Op de Beeck, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016009/
https://www.ncbi.nlm.nih.gov/pubmed/32051467
http://dx.doi.org/10.1038/s41598-020-59175-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016009/
https://www.ncbi.nlm.nih.gov/pubmed/32051467
http://dx.doi.org/10.1038/s41598-020-59175-0

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