Resistive tunable memristor emulator model and its application

神经形态工程学 记忆电阻器 计算机科学 电子工程 CMOS芯片 滤波器(信号处理) 电子线路 电阻式触摸屏 电气工程 人工神经网络 工程类 人工智能 计算机视觉
作者
Pankaj Kumar Sharma,Sagar Surendra Prasad,Sadaf Tasneem,Bindu Priyadarshini,Rajeev Kumar Ranjan
出处
期刊:Aeu-international Journal of Electronics and Communications [Elsevier BV]
卷期号:160: 154500-154500 被引量:2
标识
DOI:10.1016/j.aeue.2022.154500
摘要

Nowadays, memory elements (memristor, memcapacitor, and meminductor) found a wider range of applications in various fields like analog computation, memory-based circuits, neuromorphic circuits, etc. In this article, we have proposed a high-frequency memristor emulator using current-mode analog building blocks to emulate memristive behavior. The proposed design required two analog building blocks and two passive components. It is configured in both decremental and incremental modes, and operates up to 30 MHz. The effectiveness of the emulator is verified by performing various analyses. All simulation is performed using cadence virtuoso software with a 180 nm CMOS parameter. The proposed emulator circuit is also laid out. The layout area is only 579 µm2 and it consumes 591 µW of power. The post-layout simulation has been performed at various operating frequencies and post-layout simulation results are well matched with pre-layout results. Additionally, an experiment is performed using commercially available ICs CA3080 and AD844. The experimental results well agree with the simulation results. As an application part, Chua’s oscillator, a neuromorphic adaptive learning circuit, and a high pass filter are designed. A neuromorphic adaptive learning circuit is designed to predict behavioral response over any change in environmental conditions like temperature.
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