Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space.
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.
Lundstrom
Brian Nils
BN
Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. lundbr@u.washington.edu
Hong
Sungho
S
Higgs
Matthew H
MH
Fairhall
Adrienne L
AL
D001921:Brain / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*