Volume 11 Supplement 1

Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

Open Access

Differential contribution of voltage-dependent potassium currents to neuronal excitability

  • Marco Arieli Herrera-Valdez1, 2Email author,
  • Sandra D Berger3,
  • Carsten Duch3 and
  • Sharon Crook1, 2, 3, 4
BMC Neuroscience201011(Suppl 1):P159


Published: 20 July 2010

The excitability of a neuron depends on the different inward and outward currents that flow across its membrane. The specific role of A-type and persistent K-currents in shaping neuronal excitability remains partially unexplained by electrophysiological data. Drosophila motor neurons provide a model system to study the differential contributions of voltage-dependent K-currents to the dynamics of the membrane potential. In this work, the theoretical plausibility of existing hypotheses about the differential involvement of A-type currents in delaying spiking activity is examined through a mathematical model constructed using known macroscopic biophysical properties of voltage-dependent, slowly inactivating and fast inactivating A-type Drosophila channels. The model is constrained first by electrophysiological data, and an analysis of the membrane dynamics is performed through systematic variation of the ratios of the maximal whole-membrane currents. Different ratios among the numbers of the different channels in the model capture the basic features of responses to square pulse stimulation previously observed in Drosophila motor neurons for embryo, larvae and adult motor neurons, Kenyon cells, and giant cultured cells. The model supports the notion that slowly inactivating potassium currents are necessary for sustained spiking activity. The model also supports the hypothesis that early inactivating A-type K+ (Shal) channels are responsible for experimentally observed delays in the onset of spiking. In contrast, Shaker A-type channels with more depolarized steady state inactivation also contribute to the delay to first spike, but less than Shal. Instead, Shaker channels gate single and repetitive spiking. Furthermore, the model elucidates a biophysical mechanism that allows neurons to diversify their function, in this case by combining additive and resonant properties. Our modeling results are consistent with experimental results from different preparations including Drosophila and lobster.

Authors’ Affiliations

Mathematical, Computational, and Modeling Sciences Center, Arizona State University
School of Mathematics and Statistics, Arizona State University
School of Life Sciences, Arizona State University
Center for Adaptive Neural Systems, Arizona State University


© Herrera-Valdez et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.