A state-mutating genetic algorithm to design ion-channel models

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{PNAS-2009-Menon-16829-34,
  author =       "Vilas Menon and Nelson Spruston and William L. Kath",
  title =        "A state-mutating genetic algorithm to design
                 ion-channel models",
  journal =      "Proceedings of the National Academy of Sciences",
  year =         "2009",
  volume =       "106",
  number =       "39",
  pages =        "16829--16834",
  month =        sep # " 29",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.pnas.org/content/106/39/16829.abstract",
  URL =          "http://www.pnas.org/content/106/39/16829.full.pdf",
  DOI =          "doi:10.1073/pnas.0903766106",
  URL =          "http://www.pnas.org/cgi/content/full/0903766106/DCSupplemental",
  size =         "6 pages",
  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.",
  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