Artificial synapses are the fundamental of building a neuron network for neuromorphic computing to overcome the bottleneck of the von Neumann system. Based on a low-temperature atomic layer deposition process, a flexible electrical synapse was proposed and showed bipolar resistive switching characteristics. With the formation and rupture of ions conductive filaments path, the conductance was modulated gradually. Under a series of pre-synaptic spikes, the device successfully emulated remarkable short-term plasticity, long-term plasticity, and forgetting behaviors. Therefore, memory and learning ability were integrated to the single flexible memristor, which are promising for the next-generation of artificial neuromorphic computing systems.
Atomic Layer Deposited Hf(0.5)Zr(0.5)O(2)-based Flexible Memristor with Short/Long-Term Synaptic Plasticity.
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作者:Wang Tian-Yu, Meng Jia-Lin, He Zhen-Yu, Chen Lin, Zhu Hao, Sun Qing-Qing, Ding Shi-Jin, Zhang David Wei
| 期刊: | Nanoscale Research Letters | 影响因子: | 0.000 |
| 时间: | 2019 | 起止号: | 2019 Mar 15; 14(1):102 |
| doi: | 10.1186/s11671-019-2933-y | ||
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