... 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. ... T2N is suitable for creating robust models useful for large-scale networks that could lead to novel predictions. ..." See modeldb accession number 231818 for NEURON only code.
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Dentate gyrus
Cell Type(s): Dentate gyrus granule GLU cell
Genes: Cav1.2 CACNA1C; Cav1.3 CACNA1D; Cav2.2 CACNA1B; Cav3.2 CACNA1H; HCN1; KCa1.1 KCNMA1; KCa2.2 KCNN2; Kir2.1 KCNJ2; Kv1.1 KCNA1; Kv1.4 KCNA4; Kv2.1 KCNB1; Kv3.3 KCNC3; Kv3.4 KCNC4; Kv4.2 KCND2; Nav1.2 SCN2A; Nav1.6 SCN8A
Implementer(s): Beining, Marcel [beining at fias.uni-frankfurt.de]
Schwarzacher SW, Cuntz H, Jedlicka P, Beining M, Mongiat LA. (2017). T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells eLife.