A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks

Author:

Wang YuchenORCID,Liu Hanwen,Zhang Malu,Luo Xiaoling,Qu HongORCID

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference58 articles.

1. Truenorth: Design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip;Akopyan;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2015

2. Language models are few-shot learners;Brown,2020

3. Optimized potential initialization for low-latency spiking neural networks;Bu,2022

4. Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks;Bu,2023

5. Spiking deep convolutional neural networks for energy-efficient object recognition;Cao;International Journal of Computer Vision,2015

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