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- November 17, 2023.
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- Version 1 (May 16, 2022 - 17:55).
- Version 2 (May 16, 2023 - 13:50).
- You are viewing Version 3, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Author Information
- Kiichi Kawahataa,b,
- Jiaxin Wanga,b,
- Antoine Blanca,
- Naoya Maedac,
- Shinji Nishimotoa,b and
- Satoshi Nishidaa,b,d,*
- 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
- cNTT DATA Japan Corporation
- dCenter for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University
- ↵*Corresponding author: s-nishida{at}nict.go.jp, 1-4 Yamadaoka, Suita, Osaka, 565-0871 Japan.
Posted November 17, 2023.
Decoding individual differences in mental information from human brain response predicted by convolutional neural networks
