Prediction of human eye movements in facial discrimination tasks. - Satoshi Nishida; Tomohiro Shibata; Kazushi Ikeda (Artif. Life Robotics, 2009)

Dynamic alternation of primate response properties during trial-and-error knowledge updating. - Atsushi Fujimoto; Satoshi Nishida; Tadashi Ogawa (Robotics Auton. Syst., 2012)

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)

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

A Deep Learning Approach for Wireless Spectrum Sensing in Communications-based Train Control: A Over-fitting Problem and Solution. - Tossaporn Srisooksai; Satoshi Nishida; Shuji Nambu (VTC Fall, 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)

Hierarchical Processing of Visual and Language Information in the Brain. - Haruka Kawasaki; Satoshi Nishida; Ichiro Kobayashi (AACL/IJCNLP (Findings), 2022)

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

Exploring Hierarchical Changes in Functional Brain Network Hubs Through Brain-Activity Prediction with Convolutional Neural Networks. - Haruka Kawasaki; Satoshi Nishida; Ichiro Kobayashi (SMC, 2023)

Sex Differences in Brain Information Processing: Insights from Specific Brain Regions and Hemispheric Connectivity. - Ying Luo; Satoshi Nishida; Ichiro Kobayashi (BI (2), 2024)

Exploring Individual and Sex Differences from Brain EEG Signals under Music Stimuli. - Ying Luo; Satoshi Nishida; Ichiro Kobayashi (SCIS/ISIS, 2024)

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? - Taiga Shinozaki; Tomoki Doi; Amane Watahiki; Satoshi Nishida; Hitomi Yanaka (CoRR, 2025)

Bridging Perception and Language: A Systematic Benchmark for LVLMs' Understanding of Amodal Completion Reports. - Amane Watahiki; Tomoki Doi; Taiga Shinozaki; Satoshi Nishida; Takuya Niikawa; Katsunori Miyahara; Hitomi Yanaka (CoRR, 2025)