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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| 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 |