title: Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space.
abstract: Recent in vitro data show that neurons respond to input variance with varying sensitivities. Here we demonstrate that Hodgkin-Huxley (HH) neurons can operate in two computational regimes: one that is more sensitive to input variance (differentiating) and one that is less sensitive (integrating). A boundary plane in the 3D conductance space separates these two regimes. For a reduced HH model, this plane can be derived analytically from the V nullcline, thus suggesting a means of relating biophysical parameters to neural computation by analyzing the neuron's dynamical system.
authors.affiliation: Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. lundbr@u.washington.edu
authors.forename: Brian Nils
authors.initials: BN
authors.lastname: Lundstrom
authors.forename: Sungho
authors.initials: S
authors.lastname: Hong
authors.forename: Matthew H
authors.initials: MH
authors.lastname: Higgs
authors.forename: Adrienne L
authors.initials: AL
authors.lastname: Fairhall
mesh_terms: D001921:Brain / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*