title: Reduction of conductance-based neuron models.
abstract: We present a scheme for systematically reducing the number of differential equations required for biophysically realistic neuron models. The techniques are general, are designed to be applicable to a large set of such models and retain in the reduced system as high a degree of fidelity to the original system as possible. As examples, we provide reductions of the Hodgkin-Huxley system and the A-current model of Connor et al. (1977).
authors.affiliation: Department of Biology, Brandeis University, Waltham, MA 02254.
authors.forename: T B
authors.initials: TB
authors.lastname: Kepler
authors.forename: L F
authors.initials: LF
authors.lastname: Abbott
authors.forename: E
authors.initials: E
authors.lastname: Marder
mesh_terms: D008433:Mathematics; D008564:Membrane Potentials; D008959:Models, Neurological; D009431:Neural Conduction; D009474:Neurons / Q000502:physiology*