记忆电阻器
神经形态工程学
赫比理论
俘获
计算机科学
材料科学
电导
焦耳加热
光电子学
纳米技术
电子工程
电压
电气工程
凝聚态物理
人工神经网络
物理
工程类
人工智能
生物
复合材料
生态学
作者
Ruobing Pan,Jun Li,Fei Zhuge,Liqiang Zhu,Lingyan Liang,Hongliang Zhang,Junhua Gao,Hongtao Cao,Bing Fu,Kang Li
摘要
Memristive devices have been widely employed to emulate biological synaptic behavior. In these cases, the memristive switching generally originates from electrical field induced ion migration or Joule heating induced phase change. In this letter, the Ti/ZnO/Pt structure was found to show memristive switching ascribed to a carrier trapping/detrapping of the trap sites (e.g., oxygen vacancies or zinc interstitials) in ZnO. The carrier trapping/detrapping level can be controllably adjusted by regulating the current compliance level or voltage amplitude. Multi-level conductance states can, therefore, be realized in such memristive device. The spike-timing-dependent plasticity, an important Hebbian learning rule, has been implemented in this type of synaptic device. Compared with filamentary-type memristive devices, purely electronic memristors have potential to reduce their energy consumption and work more stably and reliably, since no structural distortion occurs.
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