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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Bibliographic Details
Main Authors: Carlson, Kristofor D., Nageswaran, Jayram Moorkanikara, Dutt, Nikil, Krichmar, Jeffrey L.
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2014
Subjects:
Neuroscience
Online Access: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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