The 78th JSAP Autumn Meeting, 2017

Presentation information

Oral presentation

13 Semiconductors » 13.5 Semiconductor devices and related technologies

[8p-C18-1~8] 13.5 Semiconductor devices and related technologies

6.1と13.3と13.5のコードシェアセッションあり

Fri. Sep 8, 2017 1:45 PM - 4:00 PM C18 (C18)

Yasuo Takahashi(Hokkaido Univ.)

1:45 PM - 2:00 PM

[8p-C18-1] Spike-Timing-Dependent synaptic Plasticity (STDP) of metal-oxide devices for brain-inspired learning LSIs

Takao Marukame1, Reika Ichihara1, Kumiko Nomura1, Shin-ichi Yasuda1, Yuichiro Mitani1 (1.Toshiba corp.)

Keywords:Memristor, Spike-Timing-Dependent synaptic Plasticity (STDP), Deep learning

Neuromorphic devices have attracted much attention for artificial intelligence applications, such as image recognition and speech recognition with great performance exceeding human beings, based on deep artificial neural networks. Spike-timing-dependent plasticity (STDP) is known as a mechanism for updating memory during learning in our biological neural networks. We observed STDP in metal-oxide (AlOx/TiOx) memristive devices having CMOS compatibility and then established the STDP protocols that can control analog resistive changes periodically with long range stabilities.