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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Front Neurosci |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Frontiers Media S.A.
2019
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| Θέματα: | |
| Διαθέσιμο 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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