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Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space

lundbr{at}u.washington.edu Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, and Veterans Affairs Puget Sound Health System, Seattle, WA 98108, U.S.A.

Sungho Hong

shhong{at}u.washington.edu Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, U.S.A.

Matthew H. Higgs

higgsm{at}u.washington.edu Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, and Veterans Affairs Puget Sound Health System, Seattle, WA 98108, U.S.A.

Adrienne L. Fairhall

fairhall{at}u.washington.edu Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, U.S.A.

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 onethat 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.