Key result
Computational models of the central respiratory pattern generator successfully generated stable respiratory rhythms and physiologically plausible firing patterns with and without feedback.
Population
Computational models of the central respiratory pattern generator including networks of respiratory neuron…
Design
Preclinical
Authors
Loading...
Network models of respiratory control may guide cardiorespiratory research; leaves open clinical translation without validation.
Computational models of the central respiratory pattern generator demonstrate how intrinsic neuronal properties and network connections integrate to control respiratory rhythm and phase switching.
Rybak et al. (1997) studied Respiratory rhythmogenesis. Computational models of the central respiratory pattern generator was evaluated on Generation of stable respiratory rhythm and physiologically plausible firing patterns. Computational models of the central respiratory pattern generator successfully generated stable respiratory rhythms and physiologically plausible firing patterns with and without feedback.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: