ALBSNN: ultra-low latency adaptive local binary spiking neural network with accuracy loss estimator
Yijian Pei,
Changqing Xu,
Zili Wu
et al.
Abstract:Spiking neural network (SNN) is a brain-inspired model with more spatio-temporal information processing capacity and computational energy efficiency. However, with the increasing depth of SNNs, the memory problem caused by the weights of SNNs has gradually attracted attention. In this study, we propose an ultra-low latency adaptive local binary spiking neural network (ALBSNN) with accuracy loss estimators, which dynamically selects the network layers to be binarized to ensure a balance between quantization deg… Show more
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