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Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges
The two possible pathways toward artificial intelligence (AI)—(i) neuroscience-oriented neuromorphic computing [like spiking neural network (SNN)] and (ii) computer science driven machine learning (like deep learning) differ widely in their fundamental formalism and coding schemes (Pei et al., 2019)...
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| Опубликовано в: : | Front Neurosci |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7327100/ https://ncbi.nlm.nih.gov/pubmed/32670012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00634 |
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