High-performance deep spiking neural networks with 0.3 spikes per neuron
Abstract Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks than artificial neural networks. This is puzzling given that theoretical results provide exact mapping algorithms...
| Главные авторы: | , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Nature Portfolio
2024-08-01
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| Серии: | Nature Communications |
| Online-ссылка: | https://doi.org/10.1038/s41467-024-51110-5 |