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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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Detalles Bibliográficos
Publicado en:Front Neurosci
Main Authors: Fonseca Guerra, Gabriel A., Furber, Steve B.
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2017
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Acceso en liña: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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