文献
J-GLOBAL ID:202202221888102802
整理番号:22A1101903
時間対第一スパイク符号化を用いたオンチップ訓練可能スパイキングニューラルネットワーク【JST・京大機械翻訳】
On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding
著者 (10件):
Im Jiseong
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Kim Jaehyeon
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Yoo Ho-Nam
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Baek Jong-Won
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Kwon Dongseok
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Oh Seongbin
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Kim Jangsaeng
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Hwang Joon
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Park Byung-Gook
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
,
Lee Jong-Ho
(Department of Electrical and Computer Engineering and ISRC, Seoul National University, Seoul, South Korea)
資料名:
IEEE Access
(IEEE Access)
巻:
10
ページ:
31263-31272
発行年:
2022年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)