Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets

Spiking neural networks (SNNs) present a promising computing model and enable bio-plausible information processing and event-driven based ultra-low power neuromorphic hardware. However, training SNNs to reach the same performances of conventional deep artificial neural networks (ANNs), particularly...

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Detalles Bibliográficos
Autores principales: Lee, Jeongjun, Zhang, Renqian, Zhang, Wenrui, Liu, Yu, Li, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082320/
https://www.ncbi.nlm.nih.gov/pubmed/32231513
http://dx.doi.org/10.3389/fnins.2020.00143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082320/
https://www.ncbi.nlm.nih.gov/pubmed/32231513
http://dx.doi.org/10.3389/fnins.2020.00143

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