業績

• トップ
• 業績

論文

1. Online supervised learning of temporal patterns in biological neural networks under feedback control
   Yuki Sono, Hideaki Yamamoto, Yusei Nishi, Takuma Sumi, Yuya Sato, Ayumi Hirano-Iwata, Yuichi Katori, Shigeo Sato
   Proceedings of the National Academy of Sciences, 123 (11), e2521560123 (2026).
   DOI:10.1073/pnas.2521560123
2. Temporal variability in pupillary asymmetry reflects ADHD-related traits in preschool and early school-aged children
   Sou Nobukawa, Isshu Wakita, Aya Shirama, Shingo Ofuchi, Ayumu Ueno, Kohei Okamoto, Hina Nishimura, Masahide Seto, Ayaka Yamauchi, Shuji Igawa, Tomiki Sumiyoshi
   Frontiers in Cognition, 5, 1781233 (2026).
   DOI:10.3389/fcogn.2026.1781233
3. Hierarchical Distribution of Reward Representation in the Cortical and Hippocampal Regions
   Shogo Soma, Masahiro Okamoto, Yui Mimura, Yoshikazu Isomura
   eNeuro, 13 (2), ENEURO.0256-25 (2026).
   DOI:10.1523/ENEURO.0256-25.2026
4. Protocol for tailored in vitro neuronal networks on high-density microelectrode arrays with polydimethylsiloxane microstructures
   Anna-Christina Haeb, Hideaki Yamamoto, Paul Roach, Daniel Merryweather, Yuya Sato, Daniel Tornero, Jordi Soriano
   STAR Protocols, 7 (1), 104349 (2026).
   DOI:10.1016/j.xpro.2026.104349
5. Estimating circadian rhythms and their association with sleep efficiency using long-term biological signals
   Isshu Wakita, Kazuya Maruyama, Sou Nobukawa, Aya Shirama, Tomiki Sumiyoshi
   Nonlinear Theory and Its Applications, 17, 295-305 (2026).
   DOI:10.1587/nolta.17.295

プレプリント

1. Proprioceptive Shape Estimation of Tensegrity Manipulators Using Energy Minimisation
   Tufail Ahmad Bhat, Shuhei Ikemoto
   arXiv, 2603.05976 (2026).
   DOI:10.48550/arXiv.2603.05976

アウトリーチ活動

1. 『高次脳機能研究最前線～基盤技術から脳のデジタル化まで～』
   信川創
   エヌ・ティー・エス（書籍情報）
2. 「高次脳機能研究最前線～基盤技術から脳のデジタル化まで～」
   松井鉄平
   エヌ・ティー・エス（書籍情報）