Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle

Spiking neural networks (SNNs) offer many advantages over traditional artificial neural networks (ANNs) such as biological plausibility, fast information processing, and energy efficiency. Although SNNs have been used to solve a variety of control tasks using the Spike-Timing-Dependent Plasticity (S...

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Detalles Bibliográficos
Autores principales: Bing, Zhenshan, Baumann, Ivan, Jiang, Zhuangyi, Huang, Kai, Cai, Caixia, Knoll, Alois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509616/
https://www.ncbi.nlm.nih.gov/pubmed/31130854
http://dx.doi.org/10.3389/fnbot.2019.00018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509616/
https://www.ncbi.nlm.nih.gov/pubmed/31130854
http://dx.doi.org/10.3389/fnbot.2019.00018

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