A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps

Neuromorphic hardware systems have been gaining ever-increasing focus in many embedded applications as they use a brain-inspired, energy-efficient spiking neural network (SNN) model that closely mimics the human cortex mechanism by communicating and processing sensory information via spatiotemporall...

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Detalles Bibliográficos
Autores principales: Zhang, Ling, Yang, Jing, Shi, Cong, Lin, Yingcheng, He, Wei, Zhou, Xichuan, Yang, Xu, Liu, Liyuan, Wu, Nanjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471769/
https://www.ncbi.nlm.nih.gov/pubmed/34577214
http://dx.doi.org/10.3390/s21186006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471769/
https://www.ncbi.nlm.nih.gov/pubmed/34577214
http://dx.doi.org/10.3390/s21186006

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