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An efficient automated parameter tuning framework for spiking neural networks
As the desire for biologically realistic spiking neural networks (SNNs) increases, tuning the enormous number of open parameters in these models becomes a difficult challenge. SNNs have been used to successfully model complex neural circuits that explore various neural phenomena such as neural plast...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3912986/ https://ncbi.nlm.nih.gov/pubmed/24550771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2014.00010 |
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