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神原裕行 2017年 研究業績一覧 (11件 / 191件)
論文
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Natsue Yoshimura,
Hayato Tsuda,
Toshihiro Kawase,
Hiroyuki Kambara,
Yasuharu Koike.
Decoding finger movement in humans using synergy of EEG cortical current signals,
Scientific Reports,
Sept. 2017.
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Natsue Yoshimura,
Osamu Koga,
Yu Katsui,
Yousuke Ogata,
Hiroyuki Kambara,
Yasuharu Koike.
Decoding of emotional responses to user-unfriendly computer interfaces via electroencephalography signals,
ACTA IMEKO,
Vol. 6,
No. 2,
July 2017.
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Nakanishi Yasuhiko,
Yanagisawa Takafumi,
Shin Duk,
Kambara Hiroyuki,
Yoshimura Natsue,
Tanaka M.,
Fukuma R.,
Kishima H.,
Hirata Masayuki,
Koike Yasuharu.
Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex,
Scientific Reports,
Vol. 7(45486),
pp. 1-13,
Mar. 2017.
国際会議発表 (査読有り)
国際会議発表 (査読なし・不明)
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Toshihiro Kawase,
Atsuko Nishimura,
Atsuko Nisimoto,
Fumio Liu,
Yeongdae Kim,
Hiroyuki Kambara,
Natsue Yoshimura,
Yasuharu Koike.
Relationship between muscle synergies and physical performance in patients with hemiparesis,
47th annual meeting of the Society for Neuroscience (SfN2017),
Nov. 2017.
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Hiroyuki Kambara,
Makoto Miyakoshi,
Hirokazu Tanaka,
Takahiro Kagawa,
Natsue Yoshimura,
Yasuharu Koike,
Scott Makeig.
Dynamic modulation of brain activities during three-ball juggling,
47th annual meeting of the Society for Neuroscience (SfN2017),
Nov. 2017.
国内会議発表 (査読なし・不明)
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香川高弘,
神原裕行,
宮腰誠,
田中宏和,
香川 高弘,
吉村奈津江,
小池康晴,
Scott Makeig.
ジャグリング動作中の脳波信号解析,
電子情報通信学会ニューロコンピューティング研究会,
信学技報,
Vol. 117,
No. 361,
pp. 17-22,
Dec. 2017.
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Natsue Yoshimura,
Hayato Tsuda,
Toshihiro Kawase,
Hiroyuki Kambara,
Yasuharu Koike.
Brain activity synergy analysis for motion decoding,
Yamada Symposium 2017 on “Neuroimaging of Natural Behaviors”,
Oct. 2017.
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Hiroyuki Kambara,
Haruka Shimizu,
Atsushi Takagi,
Toshihiro Kawase,
Natsue Yoshimura,
Yasuharu Koike.
Motor learning model adapting to velocity force-field reaching task,
第27回日本神経回路学会全国大会(JNNS2017),
Sept. 2017.
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神原裕行,
吉村奈津江,
小池康晴.
力場適応を行う到達運動学習モデル,
第29回自律分散システム・シンポジウム,
Jan. 2017.
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Kambara H,
Yoshimura N,
Koike Y.
Reaching movement learning model capable for perturbation adaptation (in Japanese),
29th Symposium on autonomous distributed system,
Jan. 2017.
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