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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
09:50
Online Online Analog-circuit design of STDP learning rule with linear decay and its LSI implementation
Satoshi Moriya, Tatsuki Kato (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Hideaki Yamamoto, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) NC2021-40
Spiking neural networks (SNNs) are expected to be the next generation of information processing technology to reduce the... [more] NC2021-40
p.44
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-29
15:20
Online Online Unsupervised learning based on local interactions between reservoir and readout neurons
Tstuki Kato, Satoshi Moriya, Hideaki Yamamoto, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2020-12
Reservoir computing is suitable for implementations in edge computing devices thanks to its low computational cost and e... [more] NC2020-12
pp.21-23
MBE, NC 2019-10-12
11:45
Miyagi   LSI Implementation and Its Evaluation of an Izhikevich Model Neuron Analog MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Shigeo Sato, Yoshihiko Horio (Tohoku Univ.) MBE2019-44 NC2019-35
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] MBE2019-44 NC2019-35
pp.69-73
NC, MBE
(Joint)
2019-03-04
16:10
Tokyo University of Electro Communications Proposal of an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2018-60
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] NC2018-60
p.93
 Results 1 - 4 of 4  /   
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