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Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks
oleh: Qingxi Duan, Zhaokun Jing, Xiaolong Zou, Yanghao Wang, Ke Yang, Teng Zhang, Si Wu, Ru Huang, Yuchao Yang
Format: | Article |
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Diterbitkan: | Nature Portfolio 2020-07-01 |
Deskripsi
Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate online learning in a monolithically integrated 4 × 4 fully memristive neural network consisting of volatile NbOx memristor neurons and nonvolatile TaOx memristor synapses.