SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient. Unlike the non-spiking counterparts, most of the existing SNN simulation frameworks are not practically...

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Detalles Bibliográficos
Autores principales: Mozafari, Milad, Ganjtabesh, Mohammad, Nowzari-Dalini, Abbas, Masquelier, Timothée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640212/
https://www.ncbi.nlm.nih.gov/pubmed/31354403
http://dx.doi.org/10.3389/fnins.2019.00625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640212/
https://www.ncbi.nlm.nih.gov/pubmed/31354403
http://dx.doi.org/10.3389/fnins.2019.00625

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