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First Error-Based Supervised Learning Algorithm for Spiking Neural Networks
Neural circuits respond to multiple sensory stimuli by firing precisely timed spikes. Inspired by this phenomenon, the spike timing-based spiking neural networks (SNNs) are proposed to process and memorize the spatiotemporal spike patterns. However, the response speed and accuracy of the existing le...
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| Pubblicato in: | Front Neurosci |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6563788/ https://ncbi.nlm.nih.gov/pubmed/31244594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00559 |
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