NEURO2022

Presentation information

Late-Breaking Abstracts

[1LBA] Late-Breaking Abstracts

Thu. Jun 30, 2022 1:00 PM - 2:00 PM Poster Session Hall 2 (Ginowan City Gymnasium)

[1LBA-038] XGBoost algorithm offers accurate prediction of forelimb muscle activity from electrocorticograms in monkeys

*Takashi Isezaki1, Michiaki Suzuki2, Ryosuke Aoki1, Yukio Koike1, Yukio Nishimura2 (1. NTT Human Informatics Laboratories, Kanagawa, Japan, 2. Neural Prosthetics Project, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, 156-8506, Japan.)

Keywords:Decoding, Electrocorticography, XGBoost

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