Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
This work presents a novel method of exploring human brain-visual representations, with a view towards replicating these processes in machines. The core idea is to learn plausible computational and biological representations by correlating human neural activity and natural images. Thus, we first pro...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 11 vom: 30. Nov., Seite 3833-3849
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| Auteur principal: |
Palazzo, Simone
(Auteur) |
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| Autres auteurs: |
Spampinato, Concetto,
Kavasidis, Isaak,
Giordano, Daniela,
Schmidt, Joseph,
Shah, Mubarak |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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