Characterization of deep neural network features by decodability from human brain activity

Achievements of near human-level performance in object recognition by deep neural networks (DNNs) have triggered a flood of comparative studies between the brain and DNNs. Using a DNN as a proxy for hierarchical visual representations, our recent study found that human brain activity patterns measur...

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Detalles Bibliográficos
Autores principales: Horikawa, Tomoyasu, Aoki, Shuntaro C., Tsukamoto, Mitsuaki, Kamitani, Yukiyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371890/
https://www.ncbi.nlm.nih.gov/pubmed/30747910
http://dx.doi.org/10.1038/sdata.2019.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371890/
https://www.ncbi.nlm.nih.gov/pubmed/30747910
http://dx.doi.org/10.1038/sdata.2019.12

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