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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...

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Detalles Bibliográficos
Autores principales: Rostami, Amirhossein, Vogginger, Bernhard, Yan, Yexin, Mayr, Christian G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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