大規模計測・デジタル脳班
Diesel2pメゾスコープと行動トラッキングで脳-身体の時空間ビッグデータを取得し、Transformer型デジタル脳を構築（代表：平）
Neuro-LLM
脳科学と大規模言語モデルのシナジーで
次世代 AI - Neuroscience を切り拓く
Neuro-LLM は、大規模神経活動データ、大規模シミュレーション、大規模言語モデルを融合し、脳情報処理の新原理を探る共同研究チームです。 広視野2光子カルシウムイメージング（10万ニューロン）やマルチモーダル行動計測といった “ビッグブレインデータ” を、LLM の表現空間へ写像・生成・解釈することで、Transformer型デジタル脳を構築し、 脳が持つ汎化力・柔軟性と言語処理の原理の解明を目指します。
Jigen Koike, Yuichiro Yada, Riichiro Hira, Honda Naoki. Sperrfy the brain: A data-driven realization of Sperry's Chemoaffinity theory in the neural connectome. bioRxiv 2025 https://doi.org/10.1101/2025.04.30.651442
Yoshida, T., Sugino, H., Yamamoto, H., Tanno, S., Tamura, M., Igarashi, J., Isomura Y., & Hira, R. (2025). Synergistic reinforcement learning by cooperation of the cerebellum and basal ganglia. Journal of Neuroscience. https://doi.org/10.1523/JNEUROSCI.1464-24.2025
Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi, and Kentaro Inui. 2025. Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference. In Findings of the Association for Computational Linguistics: NAACL 2025, pages 6324–6343, Albuquerque, New Mexico. Association for Computational Linguistics
Tatsuya Hiraoka and Kentaro Inui. 2025. Repetition Neurons: How Do Language Models Produce Repetitions?. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), pages 483–495, Albuquerque, New Mexico. Association for Computational Linguistics.
Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh, Benjamin Heinzerling, and Kentaro Inui. 2025. The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), pages 550–561, Albuquerque, New Mexico. Association for Computational Linguistics.
Tatsuya Hiraoka and Kentaro Inui. 2025. Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters. arXiv
https://doi.org/10.48550/arXiv.2506.10641
T Inaba, K Inui, Y Miyao, Y Oseki, B Heinzerling, Y Takagi. How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders. (2025) arXiv
https://doi.org/10.48550/arXiv.2503.06394
Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui. Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Arithmetic Reasoning. (2025) arXiv
https://doi.org/10.48550/arXiv.2412.01113
HV AlquBoj, H AlQuabeh, V Bojkovic, M Nwadike, K Inui. Mechanistic Insights into Grokking from the Embedding Layer. (2025) arXiv
https://doi.org/10.48550/arXiv.2505.15624
Shintaro Ozaki, Tatsuya Hiraoka, Hiroto Otake, Hiroki Ouchi, Masaru Isonuma, Benjamin Heinzerling, Kentaro Inui, Taro Watanabe, Yusuke Miyao, Yohei Oseki, Yu Takagi. Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance. (2025) arXiv https://doi.org/10.48550/arXiv.2505.21458
M Cendekia Airlangga, H AlQuabeh, MS Nwadike, K Inui. Emergence of Primacy and Recency Effect in Mamba: A Mechanistic Point of View. arXiv
https://doi.org/10.48550/arXiv.2506.15156
Sugino, H., Tanno, S., Yoshida, T., Isomura, Y., & Hira, R. (2025). Functional segregation and dynamic integration of the corticotectal descending signal in rat. Neuroscience Research, 210, 38-50. https://doi.org/10.1016/j.neures.2024.09.002
Hira, R., Townsend, L. B., Smith, I. T., Yu, C. H., Stirman, J. N., Yu, Y., & Smith, S. L. (2025). Mesoscale functional architecture in medial posterior parietal cortex. eLife, 14. https://doi.org/10.7554/eLife.105213.1
五十嵐潤,科学技術と脳の進化におけるスケーリング則, TEN, vol.6, 2025
Inaba, T., Inui, K., Miyao, Y., Oseki, Y., Heinzerling, B., & Takagi, Y. (2025). How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders. arXiv preprint arXiv:2503.06394. https://doi.org/10.48550/arXiv.2503.06394
Tanaka, Y., Arai, H., Inuzuka, M., Takahashi, Y., Kukita, M., Iseki, R., & Inui, K. (2025, April). Beyond Click to Cognition: Effective Interventions for Promoting Examination of False Beliefs in Misinformation. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-18). https://doi.org/10.1145/3706598.3714243
Kuribayashi, T., Oseki, Y., Taieb, S. B., Inui, K., & Baldwin, T. (2025). Large Language Models Are Human-Like Internally. arXiv preprint arXiv:2502.01615.
https://doi.org/10.48550/arXiv.2502.01615
Kudo, K., Aoki, Y., Kuribayashi, T., Sone, S., Taniguchi, M., Brassard, A., ... & Inui, K. (2024). Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning. arXiv preprint arXiv:2412.01113.
https://doi.org/10.48550/arXiv.2412.01113
Kobayashi, K., Matsuzaki, K., Taniguchi, M., Sakaguchi, K., Inui, K., & Abe, K. (2025). FinchGPT: a Transformer based language model for birdsong analysis. arXiv preprint arXiv:2502.00344.
https://doi.org/10.48550/arXiv.2502.00344
Oumar El-Shangiti, A., Hiraoka, T., AlQuabeh, H., Heinzerling, B., & Inui, K. (2024). The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces. arXiv e-prints, arXiv-2410
https://doi.org/10.48550/arXiv.2410.13194
Dai, Q., Heinzerling, B., & Inui, K. (2024). Representational Analysis of Binding in Language Models. arXiv preprint arXiv:2409.05448. https://doi.org/10.48550/arXiv.2409.05448
Igarashi, J. (2024). Future projections for mammalian whole-brain simulations based on technological trends in related fields. Neuroscience Research. In press. https://doi.org/10.1016/j.neures.2024.11.005
Zhang, E., Lyngaas, I., Chen, P., Wang, X., Igarashi, J., Huo, Y., ... & Wahib, M. (2024, November). Adaptive Patching for High-resolution Image Segmentation with Transformers. In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 1-16). IEEE.
Koike, J., Yada, Y., Hira, R., & Naoki, H. (2025). Sperrfy the brain: A data-driven realization of Sperry's Chemoaffinity theory in the neural connectome. bioRxiv, 2025-04. https://doi.org/10.1101/2025.04.30.651442
Fumiya Imamura, Hiroto Imamura, Yoshikazu Isomura, Riichiro Hira “Novel 6-DOF platform and mesoscale two-photon calcium imaging reveal integrative roles of the parietal cortex through ground tilt representation” CSHA conference. Awaji, Japan. 2025.4.22. Poster#33
Hiroto Imamura, Fumiya Imamura, Yoshikazu Isomura, Riichiro Hira “Balanced corticocortical connectivity shapes distinct subspaces of temporal and behavior representations in the secondary motor cortex and posterior parietal cortex” CSHA conference. Awaji, Japan. 2025.4.22. Poster#34
Sho Tanno, Hikaru Sugino, Tatsumi Yoshida, Kyohei Fujita, Yoshikazu Isomura, Riichiro Hira “Integration of activity of cerebellum and basal ganglia, and superior colliculus in the ventromedial nucleus of thalamus” 2P-035 APPW2025 March.18 Makuhari Messe
Ryoya Yamamoto, Hiroki Mori, Satoshi Oota, Yoshikazu Isomura, Riichiro Hira, Fumiya Imamura. “Development of real-time control of virtual whole-body model using wide field calcium imaging” 2LBA-006 APPW2025 March.18 Makuhari Messe Poster ＜ポスター賞＞
Riichiro Hira, Tatsumi Yoshida, Hikaru Sugin, Hinako Yamamoto, Sho Tanno, Jun Igarashi, and Yoshikazu Isomura “Synchronized cerebellar and basal ganglia output enables consistent and efficient reinforcement learning” 日本神経回路学会JNNS2024 (Clark Memorial Student center, Hokkaido University) Poster P1-18 2024.9.11
atoshi Oota, Yuko Okamura-Oho, Hiroki Mori, Jun Igarashi, Sakiko Nakamura, Riichiro Hira, Hideo Yokota “A Biomechanics Approach to Elucidating Neuromotor Functions Using the Rodent Digital Twin” 日本神経回路学会JNNS2024 (Clark Memorial Student center, Hokkaido University) Poster P2-32 2024.9.12
Fumiya Imamura, Hiroto Imamura, Reiko Hira, Shigeki Kato, Kazuto Kobayashi, Yoshikazu Isomura, Riichiro Hira “Novel 6-DOF platform and mesoscale two-photon calcium imaging reveal integrative roles of the parietal cortex in body-environment interactions” 日本神経回路学会JNNS2024 Poster (Clark Memorial Student center, Hokkaido University) P1-22 2024.9.11
Hiroto Imamura, Fumiya Imamura, Reiko Hira, Shigeki Kato, Kazuto Kobayashi, Yoshikazu Isomura, Riichiro Hira “Balanced corticocortical connectivity near the critical point enables independent and consistent temporal representations in secondary motor cortex and posterior parietal cortex”日本神経回路学会JNNS2024 Poster (Clark Memorial Student center, Hokkaido University) P1-21 2024.9.11
Takahiro Wakisaka, Riichiro Hira, Taro Toyoizumi ”NMDA dysfunction-induced reduction in feedback inhibition slows binocular rivalry switch rate: insights from a human connectome-based model to psychosis” 日本神経回路学会JNNS2024 (Clark Memorial Student center, Hokkaido University)Poster P1-19 2024.9.11.
五十嵐 潤、孫 哲、山﨑 匡、礒村 宜和、平 理一郎 “マウス感覚運動皮質のコネクトームベース神経回路モデルにおける体部位マップ間のトポグラフィック経路を介する神経相互作用” The 47th Annual Meeting of Japan Neuroscience Society: Neuro2024 (Fukuoka Convention Center, Fukuoka) 2024.7.24. Poster
太田 聡史、山本 怜哉、今村 文哉、森 裕紀、礒村 宜和、横田 秀夫、平 理一郎. “新しい生体力学的アプローチによる実験用マウスの運動解析” The 47th Annual Meeting of Japan Neuroscience Society: Neuro2024 (Fukuoka Convention Center, Fukuoka) 2024.7.26. Poster
Rios A, Hira R, Kawabata M, Fujita K, Sunahara M, Sakairi T, Etori S, Isomura Y. “Differential Roles of Prefrontal Cortex Neurons in Reward-Based Decision-Making”. The 47th Annual Meeting of Japan Neuroscience Society: Neuro2024 (Fukuoka Convention Center, Fukuoka) 2024.7.25. Poster
Hira R, Nishio T, Igarashi J, Hira A, Isomura Y, Smith SL “BrainModules: A versatile visualization tool for functional and anatomical correlation for mice and marmosets” The 47th Annual Meeting of Japan Neuroscience Society: Neuro2024 (Fukuoka Convention Center, Fukuoka) 2024.7.24. Poster
Sugino H, Yoshida T, Isomura Y, Hira R “Complex temporal dynamics in response to cortical stimulation in the deep layer of lateral superior colliculus” The 47th Annual Meeting of Japan Neuroscience Society: Neuro2024 (Fukuoka Convention Center, Fukuoka) 2024.7.24. Poster
異言語間対話支援における誤訳警告メッセージの有効性調査 。LI Yunmeng, 鈴木潤, 鈴木潤, 森下睦, 阿部香央莉, 阿部香央莉, 乾健太郎。言語処理学会年次大会発表論文集(Web) 30th 2024年 口頭
雑談応答生成モデルによる矛盾応答の大規模収集。佐藤志貴, 赤間怜奈, 赤間怜奈, 鈴木潤, 鈴木潤, 乾健太郎。言語処理学会年次大会発表論文集(Web) 30th 2024年 口頭
五十嵐潤, 高性能計算と人工知能で加速する脳シミュレーション, サイエンティフィックシステム研究会, 2024/10/28, 国内,口頭.
ご意見・共同研究のご相談は代表 平 理一郎 まで
riichirohira@gmail.com