神经形态工程学
记忆电阻器
冯·诺依曼建筑
超短脉冲
突触后电位
硫系化合物
突触可塑性
神经科学
材料科学
计算机科学
光电子学
纳米技术
物理
人工智能
化学
生物
人工神经网络
光学
激光器
生物化学
受体
量子力学
操作系统
作者
Yi Li,Yingpeng Zhong,Lei Xu,Jinjian Zhang,Xiaohua Xu,Huajun Sun,Xiangshui Miao
摘要
Compact and power-efficient plastic electronic synapses are of fundamental importance to overcoming the bottlenecks of developing a neuromorphic chip. Memristor is a strong contender among the various electronic synapses in existence today. However, the speeds of synaptic events are relatively slow in most attempts at emulating synapses due to the material-related mechanism. Here we revealed the intrinsic memristance of stoichiometric crystalline Ge2Sb2Te5 that originates from the charge trapping and releasing by the defects. The device resistance states, representing synaptic weights, were precisely modulated by 30 ns potentiating/depressing electrical pulses. We demonstrated four spike-timing-dependent plasticity (STDP) forms by applying programmed pre- and postsynaptic spiking pulse pairs in different time windows ranging from 50 ms down to 500 ns, the latter of which is 105 times faster than the speed of STDP in human brain. This study provides new opportunities for building ultrafast neuromorphic computing systems and surpassing Von Neumann architecture.
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