Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks

Spiking neural networks (SNNs) have gained considerable attention in recent years due to their ability to model temporal event streams, be trained using unsupervised learning rules, and be realized on low-power event-driven hardware. Notwithstanding the intrinsic desirable attributes of SNNs, there...

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Detalles Bibliográficos
Autores principales: Nallathambi, Abinand, Sen, Sanchari, Raghunathan, Anand, Chandrachoodan, Nitin
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/PMC8321434/
https://www.ncbi.nlm.nih.gov/pubmed/34335168
http://dx.doi.org/10.3389/fnins.2021.694402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321434/
https://www.ncbi.nlm.nih.gov/pubmed/34335168
http://dx.doi.org/10.3389/fnins.2021.694402

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