Heterogeneous recurrent spiking neural network for spatio-temporal classification
Spiking Neural Networks are often touted as brain-inspired learning models for the third wave of Artificial Intelligence. Although recent SNNs trained with supervised backpropagation show classification accuracy comparable to deep networks, the performance of unsupervised learning-based SNNs remains...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2023-01-01
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| coleção: | Frontiers in Neuroscience |
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| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fnins.2023.994517/full |
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