Using deep neural networks to disentangle visual and semantic information in human perception and memory

Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they are intermixed in mental representations. Deep neural networks that are trained either on images or...

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Veröffentlicht in:Nature human behaviour 2024-04, Vol.8 (4), p.702-717
Hauptverfasser: Shoham, Adva, Grosbard, Idan Daniel, Patashnik, Or, Cohen-Or, Daniel, Yovel, Galit
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Sprache:eng
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