SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training

Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high biological plausibility. Although SNNs are currently more efficient than artificial neural networks (ANNs),...

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Detalles Bibliográficos
Autores principales: Liu, Fangxin, Zhao, Wenbo, Chen, Yongbiao, Wang, Zongwu, Yang, Tao, Jiang, Li
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/PMC8603828/
https://www.ncbi.nlm.nih.gov/pubmed/34803591
http://dx.doi.org/10.3389/fnins.2021.756876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603828/
https://www.ncbi.nlm.nih.gov/pubmed/34803591
http://dx.doi.org/10.3389/fnins.2021.756876

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