55纳米技术中神经形态尖峰检测的Sub-nJ / Decision Schmitt触发比较器

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Pub Date : 2022-08-24 DOI:10.1109/RTSI55261.2022.9905228

João F. Sulzbach, Siqi Wang, Zalfa Jouni, A. Benlarbi-Delai, G. Klisnick, Pietro M. Ferreira

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引用次数: 0

摘要

神经形态电路在物联网领域的超低功耗人工智能应用前景广阔。然而，低于100 mV的电源电压由于其非离散和高度非线性响应而阻碍了数字使能器件。本文提出了一种低功耗史密斯触发比较器，用于连接尖峰模拟神经元和数字电路。为此，我们选择了亚阈值偏置和BiCMOS 55nm节点技术。所提出的比较器经过布局后验证，最大决策频率为400 kHz，能量效率为747 aJ/spike。这种性能与现有的人工神经元兼容。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sub-nJ per Decision Schmitt Trigger Comparator for Neuromorphic Spike Detection in 55 nm Technology

Neuromorphic circuits are known for their promising ultra-low power AI applications in IoT field. However, sub-100 mV supply voltages hamper digital-enable devices due to their non-discrete and highly non-linear response. In this paper, a low-power Smith trigger comparator is proposed to interface spiking analog eNeurons and digital circuits. To this end, a subthreshold bias and BiCMOS 55 nm node technology are chosen. The proposed comparator is post-layout validated, having a maximum decision frequency of 400 kHz and an energy efficiency of 747 aJ/spike. This performance is compatible with existing artificial neurons.

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2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)

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