Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization-Reference-Cited by-同舟云学术

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Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization

Published:2023-10 Issue: Volume:142 Page:109639
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Guo Yufei,Peng Weihang,Chen Yuanpei,Zhang Liwen,Liu Xiaode,Huang Xuhui,Ma Zhe

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference53 articles.

1. Networks of spiking neurons: the third generation of neural network models;Maass;Neural Netw.,1997

2. Towards spike-based machine intelligence with neuromorphic computing;Roy;Nature,2019

3. Toward scalable, efficient, and accurate deep spiking neural networks with backward residual connections, stochastic softmax, and hybridization;Panda;Front. Neurosci.,2020

4. Truenorth: design and tool flow of a 65 mw 1 million neuron programmable neurosynaptic chip;Akopyan;IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.,2015

5. Loihi: a neuromorphic manycore processor with on-chip learning;Davies;IEEE Micro,2018

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4. Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds;Neural Information Processing;2023-11-15

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