A state-mutating genetic algorithm to design ion-channel models
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{PNAS-2009-Menon-16829-34,
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author = "Vilas Menon and Nelson Spruston and William L. Kath",
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title = "A state-mutating genetic algorithm to design
ion-channel models",
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journal = "Proceedings of the National Academy of Sciences",
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year = "2009",
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volume = "106",
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number = "39",
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pages = "16829--16834",
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month = sep # " 29",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.pnas.org/content/106/39/16829.abstract",
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URL = "http://www.pnas.org/content/106/39/16829.full.pdf",
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DOI = "doi:10.1073/pnas.0903766106",
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URL = "http://www.pnas.org/cgi/content/full/0903766106/DCSupplemental",
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size = "6 pages",
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abstract = "Realistic computational models of single neurons
require component ion channels that reproduce
experimental findings. Here, a topology-mutating
genetic algorithm that searches for the best state
diagram and transition-rate parameters to model
macroscopic ion-channel behaviour is described.
Important features of the algorithm include a
topology-altering strategy, automatic satisfaction of
equilibrium constraints (microscopic reversibility),
and multiple-protocol fitting using sequential goal
programming rather than explicit weighting. Application
of this genetic algorithm to design a sodium-channel
model exhibiting both fast and prolonged inactivation
yields a six-state model that produces realistic
activity dependent attenuation of action-potential
backpropagation in current-clamp simulations of a CA1
pyramidal neuron.",
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notes = "Chromosome is graph. Crossover only permitted between
parents with the same structure. Mutation can add or
delete edges.",
- }
Genetic Programming entries for
Vilas Menon
Nelson Spruston
William L Kath
Citations