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Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems
Constraint satisfaction problems (CSP) are at the core of numerous scientific and technological applications. However, CSPs belong to the NP-complete complexity class, for which the existence (or not) of efficient algorithms remains a major unsolved question in computational complexity theory. In th...
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| izdano v: | Front Neurosci |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2017
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5742150/ https://ncbi.nlm.nih.gov/pubmed/29311791 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00714 |
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