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E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware
INTRODUCTION: In recent years, the application of deep learning models at the edge has gained attention. Typically, artificial neural networks (ANNs) are trained on graphics processing units (GPUs) and optimized for efficient execution on edge devices. Training ANNs directly at the edge is the next...
| 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/PMC9742366/ https://www.ncbi.nlm.nih.gov/pubmed/36518534 http://dx.doi.org/10.3389/fnins.2022.1018006 |