【Highlight】STDP characterizations of metal-oxide synapse devices for learning hardware

Takao Marukame; Radu Berdan; Kumiko Nomura; Yoshifumi Nishi

Presentation information

Oral presentation

31 Focused Session "AI Electronics" » 31.1 Focused Session "AI Electornics"

[11p-W810-1~17] 31.1 Focused Session "AI Electornics"

Mon. Mar 11, 2019 1:15 PM - 6:00 PM W810 (E1001)

Jun-ichi Shirakashi(TUAT), Tsuyoshi Hasegawa(Waseda Univ.)

4:15 PM - 4:30 PM

[11p-W810-11] 【Highlight】STDP characterizations of metal-oxide synapse devices for learning hardware

〇Takao Marukame¹, Radu Berdan¹, Kumiko Nomura¹, Yoshifumi Nishi¹ (1.Toshiba corp., RDC)

Keywords:STDP, synapse device, neural network

In the emerging AI electronics focusing on neural network hardware, spike timing dependent plasticity (STDP) characteristics in metal-oxide synapse devices are reported, and then discussed in terms of their learning-hardware applications.