T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Germany
- Universidad Nacional del Comahue-CONICET, Argentina
- Goethe University, Germany
Abstract
Compartmental models are the theoretical tool of choice for understanding single neuron computations. However, many models are incomplete, built ad hoc and require tuning for each novel condition rendering them of limited usability. Here, we present T2N, a powerful interface to control NEURON with Matlab and TREES toolbox, which supports generating models stable over a broad range of reconstructed and synthetic morphologies. We illustrate this for a novel, highly-detailed active model of dentate granule cells (GCs) replicating a wide palette of experiments from various labs. By implementing known differences in ion channel composition and morphology, our model reproduces data from mouse or rat, mature or adult-born GCs as well as pharmacological interventions and epileptic conditions. This work sets a new benchmark for detailed compartmental modeling. T2N is suitable for creating robust models useful for large-scale networks that could lead to novel predictions. We discuss possible T2N application in degeneracy studies.
Article and author information
Author details
Funding
Deutsche Forschungsgemeinschaft (CRC1080)
- Stephan Wolfgang Schwarzacher
Bundesministerium für Bildung und Forschung (01GQ1406)
- Hermann Cuntz
Alzheimer Forschung Initiative (15038)
- Peter Jedlicka
Bundesministerium für Bildung und Forschung (01GQ1203A)
- Peter Jedlicka
Agencia Nacional de Promoción Científica y Tecnológica (PICT2013-2056)
- Lucas Alberto Mongiat
Deutsche Forschungsgemeinschaft (JE 528/6-1)
- Peter Jedlicka
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2017, Beining et al.
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.
Metrics
-
- 2,475
- views
-
- 394
- downloads
-
- 42
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells
eLife 6:e26517.
https://doi.org/10.7554/eLife.26517
