NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion

Spiking neural networks (SNNs) offer a promising avenue for energy-efficient computations on neuromorphic hardware, leveraging the unique advantages of spike-based signaling. Despite their potential, SNNs often lag behind artificial neural networks (ANNs) in performance, mainly due to the complexity...

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Bibliographic Details
Published in:	Neuromorphic Computing and Engineering
Main Authors:	Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	spiking neural networks (SNNs) ANN-SNN conversion SNN coding
Online Access:	https://doi.org/10.1088/2634-4386/ade183

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