神经形态工程学
实现(概率)
记忆电阻器
计算机科学
横杆开关
香料
电阻式触摸屏
电阻随机存取存储器
计算机体系结构
巨量平行
材料科学
逻辑门
电子工程
电子线路
电气工程
电压
人工神经网络
人工智能
并行计算
工程类
算法
统计
电信
数学
计算机视觉
作者
Eike Linn,Stephan Menzel,S. Ferch,Rainer Waser
出处
期刊:Nanotechnology
[IOP Publishing]
日期:2013-09-02
卷期号:24 (38): 384008-384008
被引量:36
标识
DOI:10.1088/0957-4484/24/38/384008
摘要
Dynamic physics-based models of resistive switching devices are of great interest for the realization of complex circuits required for memory, logic and neuromorphic applications. Here, we apply such a model of an electrochemical metallization (ECM) cell to complementary resistive switches (CRSs), which are favorable devices to realize ultra-dense passive crossbar arrays. Since a CRS consists of two resistive switching devices, it is straightforward to apply the dynamic ECM model for CRS simulation with MATLAB and SPICE, enabling study of the device behavior in terms of sweep rate and series resistance variations. Furthermore, typical memory access operations as well as basic implication logic operations can be analyzed, revealing requirements for proper spike and level read operations. This basic understanding facilitates applications of massively parallel computing paradigms required for neuromorphic applications.
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