TY  - JOUR
A1  - Beining, Marcel
A1  - Mongiat, Lucas Alberto
A1  - Schwarzacher, Stephan
A1  - Cuntz, Hermann
A1  - Jedlička, Peter
T1  - T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells
T2  - eLife
N2  - 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.
KW  - Tools and resources
KW  - computational and systems biology
KW  - neuroscience
KW  - compartmental modeling
KW  - dentate gyrus
KW  - granule cell
KW  - morphological modeling
KW  - electrophysiology
KW  - adult neurogenesis
KW  - computational biology
KW  - mouse
KW  - rat
KW  - systems biology
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/46471
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-464716
SN  - 2050-084X
N1  - 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.
VL  - 6
IS  - e26517
SP  - 1
EP  - 57
PB  - eLife Sciences Publications
CY  - Cambridge
ER  -