Publications

発表論文リスト

より詳細な業績リストはGoogle ScholarやResearchmapなどをご参照ください。

2025

  1. 国内学会
    大規模言語モデルにおけるペルソナの役割と内部動作の理解
    尾崎 慎太郎, 平岡 達也, 大竹 啓永, 大内 啓樹, 渡辺 太郎, 宮尾 祐介, 大関 洋平, and 高木 優
    In 言語処理学会 全国大会, 2025
  2. 国内学会
    日本語大規模言語モデルの事前訓練過程における下流タスク性能の網羅的な分析
    西田 悠人, 小田 悠介, Namgi Han, 高木 優, and 宮尾 祐介
    In 言語処理学会 全国大会, 2025
  3. 国内学会
    大規模言語モデルにおけるSupervised Fine-tuningの包括的検証
    原田 宥都, 山内 悠輔, 小田 悠介, 大関 洋平, 宮尾 祐介, and 高木 優
    In 言語処理学会 全国大会, 2025
  4. 国内学会
    Triple-Phase Transition: 脳との関係から捉える大規模言語モデルの学習ダイナミクス
    中木 裕子, 多田 圭吾, 吉野 草太, 西本 伸志, and 高木 優
    In 言語処理学会 全国大会, 2025
  5. 国内学会
    スパースオートエンコーダーを用いた大規模言語モデルのチェックポイント横断分析
    稲葉 達郎, 乾 健太郎, 宮尾 祐介, 大関 洋平, Benjamin Heinzerling, and 高木 優
    In 言語処理学会 全国大会, 2025
  6. Preprint
    LaVCa: LLM-assisted Visual Cortex Captioning
    Takuya Matsuyama, Shinji Nishimoto, and Yu Takagi
    arXiv preprint arXiv:2502.13606, 2025
  7. Preprint
    Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective
    Yuko Nakagi, Keigo Tada, Sota Yoshino, Shinji Nishimoto, and Yu Takagi
    arXiv preprint arXiv:2502.20779, 2025
  8. Preprint
    How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders
    Tatsuro Inaba, Kentaro Inui, Yusuke Miyao, Yohei Oseki, Benjamin Heinzerling, and Yu Takagi
    arXiv preprint arXiv:2503.06394, 2025

2024

  1. EMNLP
    Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models
    Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Yamaguchi, Rieko Kubo, Shinji Nishimoto, and Yu Takagi
    In EMNLP 2024: Conference on Empirical Methods in Natural Language Processing, 2024
  2. Book
    Decoding models: From brain representation to machine interfaces
    Yu Takagi and Shinji Nishimoto
    In Computational and Network Modeling of Neuroimaging Data, 2024
  3. Preprint
    Llm-jp: A cross-organizational project for the research and development of fully open japanese llms
    Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, and 3 more authors
    arXiv preprint arXiv:2407.03963, 2024

2023

  1. CVPR
    High-resolution image reconstruction with latent diffusion models from human brain activity
    Yu Takagi and Shinji Nishimoto
    In CVPR 2023: IEEE Conference on Computer Vision and Pattern Recognition, 2023
  2. Preprint
    Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs
    Yu Takagi and Shinji Nishimoto
    arXiv preprint arXiv:2306.11536, 2023
  3. Preprint
    Brain2Music: Reconstructing Music from Human Brain Activity
    Timo I Denk*, Yu Takagi*, Takuya Matsuyama, Andrea Agostinelli, Tomoya Nakai, Christian Frank, and Shinji Nishimoto
    arXiv preprint arXiv:2307.11078, 2023

2022

  1. Nat. Hum. Behav.
    Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans
    Miriam C Klein-Flügge, Daria EA Jensen, Yu Takagi, Luke Priestley, Lennart Verhagen, Stephen M Smith, and Matthew FS Rushworth
    Nature human behaviour, 2022

2021

  1. iScience
    Intergenerational transmission of the patterns of functional and structural brain networks
    Yu Takagi, Naohiro Okada, Shuntaro Ando, Noriaki Yahata, Kentaro Morita, Daisuke Koshiyama, Shintaro Kawakami, Kingo Sawada, and 3 more authors
    iScience, 2021
  2. Elife
    Adapting non-invasive human recordings along multiple task-axes shows unfolding of spontaneous and over-trained choice
    Yu Takagi, Laurence Tudor Hunt, Mark W Woolrich, Timothy EJ Behrens, and Miriam C Klein-Flügge
    Elife, 2021
  3. Preprint
    Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments
    Yu Takagi, Laurence T Hunt, Ryu Ohata, Hiroshi Imamizu, and Jun-ichiro Hirayama
    arXiv preprint arXiv:2106.02948, 2021

2020

  1. NeurIPS
    Demixed shared component analysis of neural population data from multiple brain areas
    Yu Takagi, Steven W. Kennerley, Jun-ichiro Hirayama, and Laurence T. Hunt
    NeurIPS 2020: Advances in Neural Information Processing Systems 33, 2020

2019

  1. NeuroImage
    State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits
    Yu Takagi, Jun-ichiro Hirayama, and Saori C Tanaka
    NeuroImage, 2019
  2. CCN
    Model abstraction for model-based reinforcement learning in the human orbitofrontal cortex
    Yu Takagi, Wako Yoshid, and Saori C Tanaka
    In Conference on Cognitive Computational Neuroscience 2019 (CCN 2019), 2019

2018

  1. NeuroImage
    A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity
    Yu Takagi, Yuki Sakai, Yoshinari Abe, Seiji Nishida, Ben J Harrison, Ignacio Martı́nez-Zalacaı́n, Carles Soriano-Mas, Jin Narumoto, and 1 more author
    Neuroimage, 2018

2017

  1. Sci. Rep.
    A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity
    Yu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, and 3 more authors
    Scientific reports, 2017