High-accuracy deep ANN-to-SNN conversion using quantization-aware training framework and calcium-gated bipolar leaky integrate and fire neuron

Spiking neural networks (SNNs) have attracted intensive attention due to the efficient event-driven computing paradigm. Among SNN training methods, the ANN-to-SNN conversion is usually regarded to achieve state-of-the-art recognition accuracies. However, many existing ANN-to-SNN techniques impose le...

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Detalles Bibliográficos
Autores principales: Gao, Haoran, He, Junxian, Wang, Haibing, Wang, Tengxiao, Zhong, Zhengqing, Yu, Jianyi, Wang, Ying, Tian, Min, Shi, Cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030499/
https://www.ncbi.nlm.nih.gov/pubmed/36968504
http://dx.doi.org/10.3389/fnins.2023.1141701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030499/
https://www.ncbi.nlm.nih.gov/pubmed/36968504
http://dx.doi.org/10.3389/fnins.2023.1141701

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