神经形态工程学
记忆电阻器
电阻随机存取存储器
材料科学
可塑性
突触
光电子学
神经促进
脉搏(音乐)
非易失性存储器
长时程增强
电导
突触可塑性
计算机科学
电子工程
物理
神经科学
电压
化学
电气工程
人工智能
电信
工程类
人工神经网络
心理学
受体
探测器
复合材料
凝聚态物理
生物化学
作者
Subaek Lee,Y.S. Park,Sungyeop Jung,Sungjun Kim
摘要
We investigate a synaptic device with short-term memory characteristics using IGZO/SnOx as the switching layer. The thickness and components of each layer are analyzed by using x-ray photoelectron spectroscopy and transmission electron microscopy. The memristor exhibits analog resistive switching and a volatile feature with current decay over time. Moreover, through ten cycles of potentiation and depression, we demonstrate stable conductance modulation, leading to high-accuracy Modified National Institute of Standards and Technology pattern recognition. We effectively emulate the learning system of a biological synapse, including paired-pulse facilitation, spiking-amplitude-dependent plasticity, and spiking-rate-dependent plasticity (SRDP) by pulse trains. Ultimately, 4-bit reservoir computing divided into 16 states is incarnated using a pulse stream considering short-term memory plasticity and decay properties.
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