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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
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2.21

Neural Computation

May 2008, Vol. 20, No. 5, Pages 1239-1260
(doi: 10.1162/neco.2007.05-07-536)
© 2008 Massachusetts Institute of Technology
Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space
Article PDF (812.8 KB)
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.