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Updated: Jul 8, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
Published on: June 21, 2022
Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space
Brian Nils Lundstrom1, Sungho Hong, Matthew H Higgs
1Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. lundbr@u.washington.edu
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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