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Oct, 2022
GLIF:用于脉冲神经网络的统一门控泄漏整合火神经元
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
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Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng
TL;DR
本文提出了一个统一脉冲神经元GLIF,以融合不同的生物特征在不同的神经行为中,从而扩大脉冲神经元的表示空间,增加其异质性和适应性,并通过各种数据集的广泛实验证明了其优越性能。
Abstract
spiking neural networks
(SNNs) have been studied over decades to incorporate their biological plausibility and leverage their promising
energy efficiency
. Throughout existing SNNs, the leaky integrate-and-fire (L
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