Linear leaky-integrate-and-fire neuron model based spiking neural networks and its mapping relationship to deep neural networks
Spiking neural networks (SNNs) are brain-inspired machine learning algorithms with merits such as biological plausibility and unsupervised learning capability. Previous works have shown that converting Artificial Neural Networks (ANNs) into SNNs is a practical and efficient approach for implementing...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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Frontiers Media S.A.
2022-08-01
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| Edice: | Frontiers in Neuroscience |
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| On-line přístup: | https://www.frontiersin.org/articles/10.3389/fnins.2022.857513/full |