Modeling and implementation of oxide memristors for neuromorphic applications

Ting Chang, P. Sheridan, W. Lu
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引用次数: 10

Abstract

We report the fabrication, modeling and implementation of nanoscale tungsten-oxide (WOx) memristive (memristor) devices for neuromorphic applications. The device behaviors can be predicted accurately by considering both ion drift and diffusion. Short-term memory and memory enhancement phenomena, and the effects of spike rate, timing and associativity have been demonstrated. SPICE modeling has been achieved that allows circuit-level implementations.
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神经形态应用中氧化物忆阻器的建模与实现
我们报道了用于神经形态应用的纳米级氧化钨(WOx)忆阻器(忆阻器)器件的制造,建模和实现。同时考虑离子漂移和扩散,可以准确地预测器件的行为。短期记忆和记忆增强现象,以及尖峰率,时间和联想的影响已被证明。SPICE建模已经实现,允许电路级实现。
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