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 Martínez-Zalacaín; Carles Soriano-Mas; Jin Narumoto; Saori C. Tanaka (NeuroImage, 2018)

State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits. - Yu Takagi; Jun-ichiro Hirayama; Saori C. Tanaka (NeuroImage, 2019)

Demixed shared component analysis of neural population data from multiple brain areas. - Yu Takagi; Steven W. Kennerley; Jun-ichiro Hirayama; Laurence T. Hunt (NeurIPS, 2020)

Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments. - Yu Takagi; Laurence T. Hunt; Ryu Ohata; Hiroshi Imamizu; Jun-ichiro Hirayama (CoRR, 2021)

High-resolution image reconstruction with latent diffusion models from human brain activity. - Yu Takagi; Shinji Nishimoto (CVPR, 2023)

Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs. - Yu Takagi; Shinji Nishimoto (CoRR, 2023)

Brain2Music: Reconstructing Music from Human Brain Activity. - Timo I. Denk; Yu Takagi; Takuya Matsuyama; Andrea Agostinelli; Tomoya Nakai; Christian Havnø Frank; Shinji Nishimoto (CoRR, 2023)

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; Yu Takagi (EMNLP, 2024)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

LaVCa: LLM-assisted Visual Cortex Captioning. - Takuya Matsuyama; Shinji Nishimoto; Yu Takagi (CoRR, 2025)

Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective. - Yuko Nakagi; Keigo Tada; Sota Yoshino; Shinji Nishimoto; Yu Takagi (CoRR, 2025)

How LLMs Learn: Tracing Internal Representations with Sparse Autoencoders. - Tatsuro Inaba; Kentaro Inui; Yusuke Miyao; Yohei Oseki; Benjamin Heinzerling; Yu Takagi (CoRR, 2025)

Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance. - Shintaro Ozaki; Tatsuya Hiraoka; Hiroto Otake; Hiroki Ouchi; Masaru Isonuma; Benjamin Heinzerling; Kentaro Inui; Taro Watanabe; Yusuke Miyao; Yohei Oseki; Yu Takagi (CoRR, 2025)

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality. - Yuto Harada; Yusuke Yamauchi; Yusuke Oda; Yohei Oseki; Yusuke Miyao; Yu Takagi (CoRR, 2025)