实现巴甫洛夫联想神经网络的忆阻器数字电路

Yu Wang, Yi Liu, Jiayu Bao, Yu Yan, Ertao Hu, Xiang Wan, R. Xu, Haotong Zhang, Yi Tong
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引用次数: 1

摘要

忆阻器引发了对大脑启发的神经形态设备和系统的硬件实现的极大兴趣。在这项工作中,我们提出了一个数字电路来模拟基于制备的Ag/TiO2/Pt记忆电阻器的巴甫洛夫联想记忆实验。忆阻器作为逻辑信号处理单元与寄存器一起工作以实现仿真。数字电路的设计大大提高了系统的频率,降低了系统的功耗和成本。
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Memristor-based Digital Circuits for Realizing the Pavlov's Associative Neural Network
Memristors have sparked substantial interest in the hardware implementation of brain-inspired neuromorphic devices and systems. In this work, we propose a digital circuit to emulate the Pavlov's associative memory experiments based on fabricated Ag/TiO2/Pt memristors. Memristors operate as a logical signal processing unit in conjunction with the register to implement the emulation. The design of digital circuitry substantially increases the frequency of the system and reduces its power consumption and cost.
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