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Neuronal-Plasticity and Reward-Propagation Improved Recurrent Spiking Neural Networks
Different types of dynamics and plasticity principles found through natural neural networks have been well-applied on Spiking neural networks (SNNs) because of their biologically-plausible efficient and robust computations compared to their counterpart deep neural networks (DNNs). Here, we further p...
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| Pubblicato in: | Front Neurosci |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7994752/ https://ncbi.nlm.nih.gov/pubmed/33776644 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.654786 |
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