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Neuroimage|August 13, 2017
Decoding naturalistic experiences from human brain activity via distributed representations of wordsSatoshi Nishida, Shinji NishimotoTrends in Cognitive Sciences|June 20, 2016
Lining Up Brains via a Common Representational SpaceShinji Nishimoto, Satoshi NishidaPlos Computational Biology|June 23, 2021
Behavioral correlates of cortical semantic representations modeled by word vectorsSatoshi Nishida, Antoine Blanc, Naoya Maeda, et al.Psychiatry and Clinical Neurosciences|August 28, 2024
Homogenization of word relationships in schizophrenia: Topological analysis of cortical semantic representationsRyusuke Hayashi, Shizuo Kaji, Yukiko Matsumoto, et al.Neuroimage. Reports|June 26, 2025
Asymmetric representation of symmetric semantic information in the human brainJiaxin Wang, Kiichi Kawahata, Antoine Blanc, et al.Eneuro|December 15, 2020
Expert Programmers Have Fine-Tuned Cortical Representations of Source CodeYoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, et al.The European Journal of Neuroscience|January 29, 2023
Quantitative modelling demonstrates format-invariant representations of mathematical problems in the brainTomoya Nakai, Shinji NishimotoNeuroimage|February 27, 2023
Artificial neural network modelling of the neural population code underlying mathematical operationsTomoya Nakai, Shinji NishimotoNature Communications|March 4, 2020
Quantitative models reveal the organization of diverse cognitive functions in the brainTomoya Nakai, Shinji NishimotoCommunications Biology|November 14, 2022
Representations and decodability of diverse cognitive functions are preserved across the human cortex, cerebellum, and subcortexTomoya Nakai, Shinji NishimotoPageof 10