A Soft-Pruning Method Applied During Training of Spiking Neural Networks for In-memory Computing Applications

Inspired from the computational efficiency of the biological brain, spiking neural networks (SNNs) emulate biological neural networks, neural codes, dynamics, and circuitry. SNNs show great potential for the implementation of unsupervised learning using in-memory computing. Here, we report an algori...

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Detalles Bibliográficos
Autores principales: Shi, Yuhan, Nguyen, Leon, Oh, Sangheon, Liu, Xin, Kuzum, Duygu
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/PMC6497807/
https://www.ncbi.nlm.nih.gov/pubmed/31080402
http://dx.doi.org/10.3389/fnins.2019.00405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497807/
https://www.ncbi.nlm.nih.gov/pubmed/31080402
http://dx.doi.org/10.3389/fnins.2019.00405

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