Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems

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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Bibliographic Details
Main Authors: Gabriel A. Fonseca Guerra, Steve B. Furber
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Neuroscience
Subjects:
SpiNNaker
constraint satisfaction
spiking neural networks
stochastic search
spiking neurons
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00714/full

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