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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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| 發表在: | Front Neurorobot |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6509616/ https://ncbi.nlm.nih.gov/pubmed/31130854 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00018 |
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