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

Neural Computation
Brian Nils LundstromAdrienne L Fairhall

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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Citations

Apr 9, 2009·Journal of Computational Neuroscience·Brian Nils LundstromAdrienne L Fairhall
Jan 11, 2011·Nature Neuroscience·Katherine I Nagel, Rachel I Wilson
Apr 24, 2013·Neural Computation·Kanaka RajanGašper Tkačik
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Jun 30, 2010·PLoS Computational Biology·Yan GaiJohn Rinzel
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Jan 27, 2012·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Sungho HongErik De Schutter
Oct 17, 2014·Journal of Computational Neuroscience·Brian Nils Lundstrom
Sep 17, 2014·Frontiers in Computational Neuroscience·Aurel A Lazar, Yiyin Zhou
Dec 5, 2014·PLoS Computational Biology·Julijana GjorgjievaAdrienne L Fairhall
May 5, 2017·PloS One·Cheng Ly, Brent Doiron
Aug 19, 2015·Journal of Computational Neuroscience·E Yu SmirnovaA V Chizhov
Feb 18, 2017·Frontiers in Computational Neuroscience·Gemma HuguetJohn Rinzel
Oct 31, 2020·Proceedings of the National Academy of Sciences of the United States of America·Hannes Rapp, Martin Paul Nawrot

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