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Why Spiking Neural Networks Are Efficient: A Theorem
Current artificial neural networks are very successful in many machine learning applications, but in some cases they still lag behind human abilities. To improve their performance, a natural idea is to simulate features of biological neurons which are not yet implemented in machine learning. One of...
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| Publicado no: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274333/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50146-4_5 |
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