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Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks
Spiking neural networks (SNNs) have gained considerable attention in recent years due to their ability to model temporal event streams, be trained using unsupervised learning rules, and be realized on low-power event-driven hardware. Notwithstanding the intrinsic desirable attributes of SNNs, there...
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| 出版年: | Front Neurosci |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8321434/ https://ncbi.nlm.nih.gov/pubmed/34335168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.694402 |
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