一种用于脉冲神经网络的低功耗集成火神经元电路

Jong-Beom Seo, K. Min, D. Kim, D. Kim, H. Mo
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引用次数: 1

摘要

本文提出了一种加入级联码结构的基于电流镜像的神经元电路。加入级联结构减少了由于膜电位引起的电流波动。我们用逆变器和比较器对两种类型的神经元电路进行比较运算。我们提出了一种更有效的神经元电路在功耗方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Low Power Integrate and Fire Neuron Circuit for Spiking Neural Network
In this paper, we proposed the current mirror based neuron circuit with the cascode structure added. Adding a cascode structure reduces the current fluctuation due to the membrane potential. And we compared two type of the neuron circuit in comparative operation, using inverters and a comparator. And we proposed the more efficient type of neuron circuit in terms of power consumption.
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