赫比理论
记忆电阻器
材料科学
电阻随机存取存储器
电阻式触摸屏
光电子学
计算机科学
电子工程
物理
人工智能
人工神经网络
工程类
电极
量子力学
计算机视觉
作者
Indranil Maity,Richa Bharti,Ayash Kanto Mukherjee,Ajay D. Thakur
摘要
In this work, brain-like experiential learning/forgetting ability is demonstrated with the help of various synaptic adaptation rules, namely, short-term potentiation/short-term depression, long-term potentiation/long-term depression, spike rate-dependent plasticity, and spike-time-dependent plasticity in a thin-film device. The model device used here is a unidirectional thin film of nanocrystalline Co3O4, grown on a p-Si (100) substrate using the pulsed laser deposition technique to fabricate a metal–insulator–semiconductor type memristor. Along with this, we found an analog bipolar-type switching behavior with excellent resistive switching properties in terms of endurance, retention, and ON–OFF ratio suitable for CMOS-based memory applications. The conduction and resistive switching mechanisms are elucidated using a speculative band diagram formulated from the UV-visible spectroscopy data.
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