*Ryohei Fukuma1,2,3, Takufumi Yanagisawa1,2,3,4, Shinji Nishimoto5,6, Hidenori Sugano7, Kentaro Tamura8, Shota Yamamoto1, Yasushi Iimura7, Yuya Fujita1, Satoru Oshino1, Naoki Tani1, Naoko Koide–Majima5,6, Yukiyasu Kamitani2,9, Haruhiko Kishima1,4
(1. Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan, 2. ATR Computational Neuroscience Laboratories, Seika-cho, Japan, 3. Institute for Advanced Co-Creation Studies, Osaka University, Suita, Japan, 4. Osaka University Hospital Epilepsy Center, Suita, Japan, 5. Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Japan, 6. Graduate School of Frontier Biosciences, Osaka University, Suita, Japan, 7. Department of Neurosurgery, Juntendo University, Tokyo, Japan, 8. Department of Neurosurgery, Nara Medical University, Kashihara, Japan, 9. Graduate School of Informatics, Kyoto University, Kyoto, Japan)
Keywords:Brain-computer interface (BCI), Electrocorticogram (ECoG), Visual imagery, Real-time visual feedback
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PW: Neuro2022