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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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| 出版年: | Sci Data |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371890/ https://ncbi.nlm.nih.gov/pubmed/30747910 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2019.12 |
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