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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Detalles Bibliográficos
Autores principales: Jia, Shuncheng, Zhang, Tielin, Cheng, Xiang, Liu, Hongxing, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
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

Internet

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

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