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)

Using a BCI Prosthetic Hand to Control Phantom Limb Pain. - Takufumi Yanagisawa; Ryohei Fukuma; Ben Seymour; Koichi Hosomi; Haruhiko Kishima; Takeshi Shimizu; Hiroshi Yokoi; Masayuki Hirata; Toshiki Yoshimine; Yukiyasu Kamitani; Youichi Saitoh (Brain-Computer Interface Research (7), 2019)

Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. - Ryohei Fukuma; Kei Majima; Yoshinobu Kawahara; Okito Yamashita; Yoshiyuki Shiraishi; Haruhiko Kishima; Takufumi Yanagisawa (CoRR, 2023)

Brain-grounding of semantic vectors improves neural decoding of visual stimuli. - Shirin Vafaei; Ryohei Fukuma; Huixiang Yang; Haruhiko Kishima; Takufumi Yanagisawa (CoRR, 2024)

A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study. - Yusuke Watanabe; Yuki Miyazaki; Masahiro Hata; Ryohei Fukuma; Yasunori Aoki; Hiroaki Kazui; Toshihiko Araki; Daiki Taomoto; Yuto Satake; Takashi Suehiro; Shunsuke Sato; Hideki Kanemoto; et al. (Neural Networks, 2024)