Implementation of Lateral Divisive Inhibition Based on Ferroelectric Fet with Ultra-Low Hardware Cost for Neuromorphic Computing

Shuhan Liu, Tianyi Liu, Zhiyuan Fu, Cheng Chen, Qianqian Huang, Ru Huang
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Abstract

In this work, a novel bio-inspired hardware design of lateral divisive inhibition is proposed and demonstrated by using only one transistor of ferroelectric FET. The proposed design is simulated based on our developed FeFET model, and is also proved to be functional in spiking neural network. The new design with ultra-low hardware cost exhibits good biological plausibility, showing its great potential for neuromorphic computing.
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基于铁电场效应晶体管的超低硬件成本侧分裂抑制神经形态计算实现
在这项工作中,提出了一种新的生物启发的横向分裂抑制硬件设计,并证明了仅使用一个铁电场效应管晶体管。基于我们所开发的ffet模型进行了仿真,并证明了该设计在峰值神经网络中是有效的。新设计具有超低的硬件成本,具有良好的生物学合理性,显示出其在神经形态计算方面的巨大潜力。
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