记忆电阻器
材料科学
突触
长时程增强
神经科学
突触可塑性
神经形态工程学
亚稳态
扩散
计算机科学
Spike(软件开发)
人工神经网络
生物系统
人工智能
物理
化学
生物
生物化学
受体
量子力学
热力学
软件工程
作者
Zhongqiang Wang,Hai Xu,Xinghua Li,Hao Yu,Yichun Liu,Xiao Juan Zhu
标识
DOI:10.1002/adfm.201103148
摘要
Abstract A single synaptic device with inherent learning and memory functions is demonstrated based on an amorphous InGaZnO (α‐IGZO) memristor; several essential synaptic functions are simultaneously achieved in such a single device, including nonlinear transmission characteristics, spike‐rate‐dependent and spike‐timing‐dependent plasticity, long‐term/short‐term plasticity (LSP and STP) and “learning‐experience” behavior. These characteristics bear striking resemblances to certain learning and memory functions of biological systems. Especially, a “learning‐experience” function is obtained for the first time, which is thought to be related to the metastable local structures in α‐IGZO. These functions are interrelated: frequent stimulation can cause an enhancement of LTP, both spike‐rate‐dependent and spike‐timing‐dependent plasticity is the same on this point; and, the STP‐to‐LTP transition can occur through repeated “stimulation” training. The physical mechanism of device operation, which does not strictly follow the memristor model, is attributed to oxygen ion migration/diffusion. A correlation between short‐term memory and ion diffusion is established by studying the temperature dependence of the relaxation processes of STP and ion diffusion. The realization of important synaptic functions and the establishment of a dynamic model would promote more accurate modeling of the synapse for artificial neural network.
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