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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994752/ https://www.ncbi.nlm.nih.gov/pubmed/33776644 http://dx.doi.org/10.3389/fnins.2021.654786 |