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Automated evolutionary optimization of ion channel conductances and kinetics in models of young and...

Automated evolutionary optimization of ion channel conductances and kinetics in models of young and...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1808736295

Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons

About this item

Full title

Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons

Publisher

New York: Springer US

Journal title

Journal of computational neuroscience, 2016-08, Vol.41 (1), p.65-90

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Conductance-based compartment modeling requires tuning of many parameters to fit the neuron model to target electrophysiological data. Automated parameter optimization via evolutionary algorithms (EAs) is a common approach to accomplish this task, using error functions to quantify differences between model and target. We present a three-stage EA op...

Alternative Titles

Full title

Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1808736295

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1808736295

Other Identifiers

ISSN

0929-5313

E-ISSN

1573-6873

DOI

10.1007/s10827-016-0605-9

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