T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells

  • 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.
Metadaten
Author:Marcel Beining, Lucas Alberto Mongiat, Stephan Schwarzacher, Hermann CuntzORCiDGND, Peter JedličkaORCiDGND
URN:urn:nbn:de:hebis:30:3-464716
DOI:https://doi.org/10.7554/eLife.26517
ISSN:2050-084X
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/29165247
Parent Title (English):eLife
Publisher:eLife Sciences Publications
Place of publication:Cambridge
Contributor(s):Frances K. Skinner
Document Type:Article
Language:English
Year of Completion:2017
Date of first Publication:2017/11/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/08/21
Tag:Tools and resources; adult neurogenesis; compartmental modeling; computational and systems biology; computational biology; dentate gyrus; electrophysiology; granule cell; morphological modeling; mouse; neuroscience; rat; systems biology
Volume:6
Issue:e26517
Page Number:57
First Page:1
Last Page:57
Note:
Copyright Beining et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
HeBIS-PPN:446316741
Institutes:Biowissenschaften / Biowissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0