"… We present a new event-driven algorithm to synchronize different neuronal models, which decreases computational time and avoids superfluous synchronizations. The algorithm is implemented in the TimeScales framework. We demonstrate its use by simulating a new multiscale model of the Medium Spiny Neuron of the Neostriatum. The model comprises over a thousand dendritic spines, where the electrical model interacts with the respective instances of a biochemical model. Our results show that a multiscale model is able to exhibit changes of synaptic plasticity as a result of the interaction between electrical and biochemical signaling. …"
Model Type: Neuron or other electrically excitable cell; Synapse
Region(s) or Organism(s): Striatum
Cell Type(s): Neostriatum medium spiny direct pathway GABA cell
Currents: I Na,p; I Na,t; I T low threshold; I A; I K,Ca; I CAN; I Calcium; I A, slow; I Krp; I R; I Q
Genes: Kv4.2 KCND2; Kv1.2 KCNA2; Cav1.3 CACNA1D; Cav1.2 CACNA1C; Kv2.1 KCNB1
Model Concept(s): Synaptic Plasticity; Signaling pathways; Calcium dynamics; Multiscale
Simulation Environment: NEURON; Python
Implementer(s): Mattioni, Michele [mattioni at ebi.ac.uk]
References:
Mattioni M, Le Novère N. (2013). Integration of biochemical and electrical signaling-multiscale model of the medium spiny neuron of the striatum. PloS one. 8 [PubMed]