Mature and young adult-born dentate granule cell models (T2N interface) (Beining et al. 2017)

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Accession:231862
... 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.
Reference:
1 . Beining M, Mongiat LA, Schwarzacher SW, Cuntz H, Jedlicka P (2017) T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells eLife
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Dentate gyrus;
Cell Type(s): Dentate gyrus granule cell;
Channel(s): I A; I Calcium; I h; I K; I K,Ca; I K,leak; I Na,t; I M; Kir2 leak;
Gap Junctions:
Receptor(s):
Gene(s): 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;
Transmitter(s):
Simulation Environment: NEURON; MATLAB; T2N;
Model Concept(s): Conductance distributions; Methods; Neurogenesis;
Implementer(s): Beining, Marcel [beining at fias.uni-frankfurt.de];
Search NeuronDB for information about:  Dentate gyrus granule cell; I Na,t; I A; I K; I K,leak; I M; I h; I K,Ca; I Calcium; Kir2 leak;
 
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