Author

Rieko Kubo

Center for Information and Neural Networks

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:imaging· 4 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Shinji NishimotoiD· 4 shared Tomoya NakaiiD· 2 shared Hiroto Q. Yamaguchi· 1 shared Masahiro Yamashita· 1 shared Naoko Koide‐MajimaiD· 1 shared Takuya Matsuyama· 1 shared Yu TakagiiD· 1 shared Yuko Nakagi· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 17 mutual co-author links

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4 shared papersNeuroscience

Shinji NishimotoORCID

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4 papers

Recent·Most cited

Hierarchical Brain-LLM Alignment Reveals Layer-Specific Neural Representations of Second Language Proficiency

Rieko Kubo, Shinji Nishimoto, Tomoya Nakai

The paper examines how second language proficiency affects brain-LLM alignment across neural layers, finding that higher proficiency correlates with stronger alignment in specific brain regions.

bioRxiv · Jun 17, 2025 · PreprintNeuroscience

Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures

Tomoya Nakai, Rieko Kubo, Shinji Nishimoto

This study uses fMRI to analyze cognitive task representations across 25 tasks, finding subject-specific and subject-invariant structures in cortical regions.

Communications Biology · May 8, 2025Peer-reviewedNeuroscience

Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models

Yuko Nakagi, Takuya Matsuyama, Naoko Koide‐Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi

This study uses large language models to predict human brain activity during movie watching, showing better accuracy for complex stories and identifying brain regions for multi-modal semantic representations.

Conference on Empirical Methods in Natural Language Processing (EMNLP) · Jan 1, 2024Peer-reviewedNeuroscience

Cortical representations of languages during natural dialogue

Masahiro Yamashita, Rieko Kubo, Shinji Nishimoto

The paper uses fMRI to show separate brain representations for language production and comprehension during natural dialogue, with production linked to motor systems and comprehension to auditory systems, both involving shared semantic and pragmatic networks.

bioRxiv · Aug 21, 2023 · PreprintNeuroscience