This model is a reduced version of a spatially organized respiratory central pattern generation network consisting of four neuronal populations (pre-I, early-I, post-I, and aug-E). In this reduction, each population is represented by a single neuron, in an activity-based framework (which includes the persistent sodium current for the pre-I population). The model includes three sources of external drive and can produce several experimentally observed rhythms.
Model Type: Realistic Network
Cell Type(s): Respiratory column neuron
Currents: I Na,p
Model Concept(s): Temporal Pattern Generation
Simulation Environment: XPPAUT
Implementer(s): Rubin, Jonathan E [jonrubin at pitt.edu]
References:
Rubin JE, Shevtsova NA, Ermentrout GB, Smith JC, Rybak IA. (2009). Multiple rhythmic states in a model of the respiratory central pattern generator. Journal of neurophysiology. 101 [PubMed]