1. Neuroscience
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Visualization of currents in neural models with similar behavior and different conductance densities

  1. Leandro M Alonso  Is a corresponding author
  2. Eve Marder
  1. Brandeis University, United States
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Cite this article as: eLife 2019;8:e42722 doi: 10.7554/eLife.42722


Conductance-based models of neural activity produce large amounts of data that can be hard to visualize and interpret. We introduce visualization methods to display the dynamics of the ionic currents and to display the models' response to perturbations. To visualize the currents' dynamics we compute the percent contribution of each current and display them over time using stacked-area plots. The waveform of the membrane potential and the contribution of each current change as the models are perturbed. To represent these changes over a range of the perturbation control parameter, we compute and display the distributions of these waveforms. We illustrate these procedures in six examples of bursting model neurons with similar activity but that differ as much as 3-fold in their conductance densities. These visualization methods provide heuristic insight into why individual neurons or networks with similar behavior can respond widely differently to perturbations.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 2 through 15.Data package available in Dryad: doi:10.5061/dryad.d0779mb

The following data sets were generated

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Author details

  1. Leandro M Alonso

    Volen Center, Brandeis University, Waltham, United States
    For correspondence
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8211-2855
  2. Eve Marder

    Volen Center, Brandeis University, Waltham, United States
    Competing interests
    Eve Marder, Senior editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9632-5448


National Institutes of Health (R35 NS097343)

  • Eve Marder

Swartz Foundation (2017)

  • Leandro M Alonso

National Institutes of Health (MH046742)

  • Eve Marder

National Institutes of Health (T32 NS07292)

  • Leandro M Alonso

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Frances K Skinner, Krembil Research Institute, University Health Network, Canada

Publication history

  1. Received: October 9, 2018
  2. Accepted: January 29, 2019
  3. Accepted Manuscript published: January 31, 2019 (version 1)
  4. Version of Record published: February 28, 2019 (version 2)


© 2019, Alonso & Marder

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.


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