This model includes a conditional respiratory pacemaker unit (representing the pre-Botzinger Complex), which can be tuned across oscillatory and non-oscillatory dynamic regimes in isolation, embedded into a full respiratory network. The work shows that under this embedding, the pacemaker unit's dynamics become masked: the network exhibits similar dynamical properties regardless of the conditional pacemaker node's tuning, and that node's outputs are dominated by network influences.
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Brainstem
Cell Type(s): PreBotzinger complex neuron
Currents: I Na,p
Model Concept(s): Respiratory control
Simulation Environment: XPPAUT
Implementer(s): Rubin, Jonathan E [jonrubin at pitt.edu]
References:
Rubin JE, Smith JC. (2019). Robustness of respiratory rhythm generation across dynamic regimes. PLoS computational biology. 15 [PubMed]