title: Dissection and reduction of a modeled bursting neuron.
abstract: An 11-variable Hodgkin-Huxley type model of a bursting neuron was investigated using numerical bifurcation analysis and computer simulations. The results were applied to develop a reduced model of the underlying subthreshold oscillations (slow-wave) in membrane potential. Two different low-order models were developed: one 3-variable model, which mimicked the slow-wave of the full model in the absence of action potentials and a second 4-variable model, which included expressions accounting for the perturbational effects of action potentials on the slow-wave. The 4-variable model predicted more accurately the activity mode (bursting, beating, or silence) in response to application of extrinsic stimulus current or modulatory agents. The 4-variable model also possessed a phase-response curve that was very similar to that of the original 11-variable model. The results suggest that low-order models of bursting cells that do not consider the effects of action potentials may erroneously predict modes of activity and transient responses of the full model on which the reductions are based. These results also show that it is possible to develop low-order models that retain many of the characteristics of the activity of the higher-order system.
authors.affiliation: Dept. of Electrical and Computer Engineering, Rice University, Houston, TX 77251-1892, USA.rbutera@ece.rice.edu
authors.forename: R J
authors.initials: RJ
authors.lastname: Butera
authors.forename: J W
authors.initials: JW
authors.lastname: Clark
authors.forename: J H
authors.initials: JH
authors.lastname: Byrne
mesh_terms: D000818:Animals; D001048:Aplysia; D008564:Membrane Potentials / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*