Presentation 2017-11-09
[Invited Talk] ECoG-based Brain-Machine Interface
Takafumi Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Electrocorticogram (ECoG) has recently been attracting increased attention as a source signal for clinical Brain-machine interface (BMI) because it offers a good balance of features: less invasive than penetrating electrode methods, and a higher spatial resolution than EEG. In my presentation I introduce four topics below, - BMI researches (Status quo) - A fully implantable BMI system which we are developing in collaboration with Osaka University group- Fundamental BMI technologies including multi-channel flexible electrode arrays- Cortical adaptation observed in the brain connected with a BMI system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Brain-machine interface / Electrocorticogram / Neural electrode
Paper # CCS2017-22
Date of Issue 2017-11-02 (CCS)

Conference Information
Committee CCS
Conference Date 2017/11/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Osaka Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Naoki Wakamiya(Osaka Univ.)
Vice Chair Mikio Hasegawa(Tokyo Univ. of Science) / Makoto Naruse(NICT)
Secretary Mikio Hasegawa(Osaka Univ.) / Makoto Naruse(Tokyo City Univ.)
Assistant Chisa Takano(Hirishima City Univ.) / Takashi Shimada(Univ. of Tokyo) / Tomoya Suzuki(Ibaraki Univ.) / Ryo Takahashi(AUT)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] ECoG-based Brain-Machine Interface
Sub Title (in English) System development and neuroscience issues
Keyword(1) Brain-machine interface
Keyword(2) Electrocorticogram
Keyword(3) Neural electrode
1st Author's Name Takafumi Suzuki
1st Author's Affiliation National Institute of Information and Communications Technology(NICT)
Date 2017-11-09
Paper # CCS2017-22
Volume (vol) vol.117
Number (no) CCS-288
Page pp.pp.11-14(CCS),
#Pages 4
Date of Issue 2017-11-02 (CCS)