神经形态工程学
记忆电阻器
材料科学
突触可塑性
峰值时间相关塑性
可塑性
计算机科学
变质塑性
光电子学
兴奋性突触后电位
神经促进
非突触性可塑性
神经科学
人工神经网络
电子工程
人工智能
化学
生物
工程类
抑制性突触后电位
生物化学
复合材料
受体
作者
Xiaofei Dong,Wenbin Wei,Hao Sun,Siyuan Li,Jianbiao Chen,Jiangtao Chen,Xuqiang Zhang,Yun Zhao,Yan Li
摘要
Memristive devices with both electrically and optically induced synaptic dynamic behaviors will be crucial to the accomplishment of brain-inspired neuromorphic computing systems, in which the resistive materials and device architectures are two of the most important cornerstones, but still under challenge. Herein, kuramite Cu3SnS4 is newly introduced into poly-methacrylate as the switching medium to construct memristive devices, and the expected high-performance bio-mimicry of diverse optoelectronic synaptic plasticity is demonstrated. In addition to the excellent basic performances, such as stable bipolar resistive switching with On/Off ratio of ∼486, Set/Reset voltage of ∼-0.88/+0.96 V, and good retention feature of up to 104 s, the new designs of memristors possess not only the multi-level controllable resistive-switching memory property but also the capability of mimicking optoelectronic synaptic plasticity, including electrically and visible/near-infrared light-induced excitatory postsynaptic currents, short-/long-term memory, spike-timing-dependent plasticity, long-term plasticity/depression, short-term plasticity, paired-pulse facilitation, and "learning-forgetting-learning" behavior as well. Predictably, as a new class of switching medium material, such proposed kuramite-based artificial optoelectronic synaptic device has great potential to be applied to construct neuromorphic architectures in simulating human brain functions.
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