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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 11 vom: 30. Nov., Seite 3833-3849
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| 1. Verfasser: |
Palazzo, Simone
(VerfasserIn) |
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| Weitere Verfasser: |
Spampinato, Concetto,
Kavasidis, Isaak,
Giordano, Daniela,
Schmidt, Joseph,
Shah, Mubarak |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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