Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity. - Jack L. Gallant; Thomas Naselaris; Ryan J. Prenger; Kendrick N. Kay; Dustin Stansbury; Michael Oliver; An Vu; Shinji Nishimoto (HCI (16), 2009)

Encoding and decoding in fMRI. - Thomas Naselaris; Kendrick N. Kay; Shinji Nishimoto; Jack L. Gallant (NeuroImage, 2011)

Generating Natural Language Descriptions for Semantic Representations of Human Brain Activity. - Eri Matsuo; Ichiro Kobayashi; Shinji Nishimoto; Satoshi Nishida; Hideki Asoh (ACL (Student Research Workshop), 2016)

Semantic representation in the cerebral cortex with sparse coding. - Chiaki Kawase; Ichiro Kobayashi; Shinji Nishimoto; Satoshi Nishida; Hideki Asoh (SMC, 2017)

Decoding Visual Stimulus in Semantic Space from Electrocorticography Signals. - Ryohei Fukuma; Takufumi Yanagisawa; Shinji Nishimoto; Masataka Tanaka; Shota Yamamoto; Satoru Oshino; Yukiyasu Kamitani; Haruhiko Kishima (SMC, 2018)

Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli. - Eri Matsuo; Ichiro Kobayashi; Shinji Nishimoto; Satoshi Nishida; Hideki Asoh (SMC, 2018)

Encoding and Decoding of Music-Genre Representations in the Human Brain. - Tomoya Nakai; Naoko Koide-Majima; Shinji Nishimoto (SMC, 2018)

Mapping stimulus feature selectivity in macaque V1 by two-photon Ca2+ imaging: Encoding-model analysis of fluorescence responses to natural movies. - Koji Ikezoe; Mahya Amano; Shinji Nishimoto; Ichiro Fujita (NeuroImage, 2018)

Decoding naturalistic experiences from human brain activity via distributed representations of words. - Satoshi Nishida; Shinji Nishimoto (NeuroImage, 2018)

Relational Network of People Constructed on the Basis of Similarity of Brain Activities. - Ryoichi Shinkuma; Satoshi Nishida; Masataka Kado; Naoya Maeda; Shinji Nishimoto (IEEE Access, 2019)

Brain-mediated Transfer Learning of Convolutional Neural Networks. - Satoshi Nishida; Yusuke Nakano; Antoine Blanc; Shinji Nishimoto (CoRR, 2019)

Brain-Mediated Transfer Learning of Convolutional Neural Networks. - Satoshi Nishida; Yusuke Nakano; Antoine Blanc; Naoya Maeda; Masataka Kado; Shinji Nishimoto (AAAI, 2020)

Distinct dimensions of emotion in the human brain and their representation on the cortical surface. - Naoko Koide-Majima; Tomoya Nakai; Shinji Nishimoto (NeuroImage, 2020)

Behavioral correlates of cortical semantic representations modeled by word vectors. - Satoshi Nishida; Antoine Blanc; Naoya Maeda; Masataka Kado; Shinji Nishimoto (PLoS Comput. Biol., 2021)

Validation of the Role of Attention Mechanism in Predicting Brain Activity. - Haruka Taguchi; Satoshi Nishida; Shinji Nishimoto; Ichiro Kobayashi (SCIS/ISIS, 2022)

Brain networks are decoupled from external stimuli during internal cognition. - Dror Cohen; Tomoya Nakai; Shinji Nishimoto (NeuroImage, 2022)

Reduction of Information Collection Cost for Inferring Brain Model Relations From Profile Information Using Machine Learning. - Ryoichi Shinkuma; Satoshi Nishida; Naoya Maeda; Masataka Kado; Shinji Nishimoto (IEEE Trans. Syst. Man Cybern. Syst., 2022)

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)

Applicability of scaling laws to vision encoding models. - Takuya Matsuyama; Kota S. Sasaki; Shinji Nishimoto (CoRR, 2023)

Artificial neural network modelling of the neural population code underlying mathematical operations. - Tomoya Nakai; Shinji Nishimoto (NeuroImage, 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)

Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation. - Naoko Koide-Majima; Shinji Nishimoto; Kei Majima (Neural Networks, 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)

Correspondence of high-dimensional emotion structures elicited by video clips between humans and Multimodal LLMs. - Haruka Asanuma; Naoko Koide-Majima; Ken Nakamura; Takato Horii; Shinji Nishimoto; Masafumi Oizumi (CoRR, 2025)