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

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@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