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Backpropagation With Sparsity Regularization for Spiking Neural Network Learning
The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient processing and computing exploiting spiking-driven and sparsity features of biological systems. This article proposes a sparsity-driven SNN learning algorithm, namely backpropagation with sparsity regularizatio...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047717/ https://www.ncbi.nlm.nih.gov/pubmed/35495028 http://dx.doi.org/10.3389/fnins.2022.760298 |