Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase

Convolutional Neural Networks (CNNs) are effective and mature in the field of classification, while Spiking Neural Networks (SNNs) are energy-saving for their sparsity of data flow and event-driven working mechanism. Previous work demonstrated that CNNs can be converted into equivalent Spiking Convo...

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Detalles Bibliográficos
Autores principales: Chen, Xuan, Yuan, Xiaopeng, Fu, Gaoming, Luo, Yuanyong, Yue, Tao, Yan, Feng, Wang, Yuxuan, Pan, Hongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558256/
https://www.ncbi.nlm.nih.gov/pubmed/34733147
http://dx.doi.org/10.3389/fncom.2021.697469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558256/
https://www.ncbi.nlm.nih.gov/pubmed/34733147
http://dx.doi.org/10.3389/fncom.2021.697469

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