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Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space.

Authors
  • Lundstrom, Brian Nils1
  • Hong, Sungho
  • Higgs, Matthew H
  • Fairhall, Adrienne L
  • 1 Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. [email protected]
Type
Published Article
Journal
Neural computation
Publication Date
May 01, 2008
Volume
20
Issue
5
Pages
1239–1260
Identifiers
DOI: 10.1162/neco.2007.05-07-536
PMID: 18194104
Source
Medline
License
Unknown

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.

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