A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia
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- @Article{Floares2008379,
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author = "Alexandru George Floares",
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title = "A reverse engineering algorithm for neural networks,
applied to the subthalamopallidal network of basal
ganglia",
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journal = "Neural Networks",
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volume = "21",
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number = "2-3",
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pages = "379--386",
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year = "2008",
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note = "Advances in Neural Networks Research: IJCNN '07, 2007
International Joint Conference on Neural Networks IJCNN
'07",
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ISSN = "0893-6080",
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DOI = "doi:10.1016/j.neunet.2007.12.017",
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URL = "http://www.sciencedirect.com/science/article/B6T08-4RDR1B6-1/2/5aae1d094dbe3fd190fbb3fe9acebe63",
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keywords = "genetic algorithms, genetic programming, Neural
networks, Reverse engineering algorithm, Linear genetic
programming, Systems of ordinary differential
equations, Basal ganglia, Discovery science approach",
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abstract = "Modeling neural networks with ordinary differential
equations systems is a sensible approach, but also very
difficult. This paper describes a new algorithm based
on linear genetic programming which can be used to
reverse engineer neural networks. The RODES algorithm
automatically discovers the structure of the network,
including neural connections, their signs and
strengths, estimates its parameters, and can even be
used to identify the biophysical mechanisms involved.
The algorithm is tested on simulated time series data,
generated using a realistic model of the
subthalamopallidal network of basal ganglia. The
resulting ODE system is highly accurate, and results
are obtained in a matter of minutes. This is because
the problem of reverse engineering a system of coupled
differential equations is reduced to one of reverse
engineering individual algebraic equations. The
algorithm allows the incorporation of common domain
knowledge to restrict the solution space. To our
knowledge, this is the first time a realistic reverse
engineering algorithm based on linear genetic
programming has been applied to neural networks.",
- }
Genetic Programming entries for
Alexandru Floares
Citations