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Decoding individual differences in mental information from human brain response predicted by convolutional neural networks
Kiichi Kawahata, Jiaxin Wang, Antoine Blanc, Naoya Maeda, View ORCID ProfileShinji Nishimoto, View ORCID ProfileSatoshi Nishida
doi: https://doi.org/10.1101/2022.05.16.492029
Kiichi Kawahata
aCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
bGraduate School of Frontier Biosciences, Osaka University
Jiaxin Wang
aCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
bGraduate School of Frontier Biosciences, Osaka University
Antoine Blanc
aCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
Naoya Maeda
cNTT DATA Japan Corporation
Shinji Nishimoto
aCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
bGraduate School of Frontier Biosciences, Osaka University
Satoshi Nishida
aCenter for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT)
bGraduate School of Frontier Biosciences, Osaka University
dCenter for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University

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Posted November 17, 2023.
Decoding individual differences in mental information from human brain response predicted by convolutional neural networks
Kiichi Kawahata, Jiaxin Wang, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida
bioRxiv 2022.05.16.492029; doi: https://doi.org/10.1101/2022.05.16.492029
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