Ryohei Fukuma

According to our database, Ryohei Fukuma authored at least 5 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Kenji Yoshiyama, Ryouhei Ishii, Tatsuya Harada, Haruhiko Kishima, Manabu Ikeda, Takufumi Yanagisawa

Neural Networks, 2024

Brain-grounding of semantic vectors improves neural decoding of visual stimuli.

Shirin Vafaei, Ryohei Fukuma, Huixiang Yang, Haruhiko Kishima, Takufumi Yanagisawa

CoRR, 2024

2023

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

2019

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

Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019

2018

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018