ArticlePLoS computational biology2019
Robustness of respiratory rhythm generation across dynamic regimes.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Modeling synaptic interactions between mammalian breathing and swallowing central pattern generators.Biological cybernetics · 2026Article
- Cardiogenic and chronobiological mechanisms in seizure-induced sinus arrhythmias.PLoS computational biology · 2025Article
- Asymmetric neuromodulation in the respiratory network contributes to rhythm and pattern generation.Frontiers in neural circuits · 2025Article
- Slow negative feedback enhances robustness of square-wave bursting.Journal of computational neuroscience · 2023Article
- Deglutition and the Regulation of the Swallow Motor Pattern.Physiology (Bethesda, Md.) · 2023 · on this mapReview
- Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator.eLife · 2022Article
- Dynamics of ramping bursts in a respiratory neuron model.Journal of computational neuroscience · 2022Article
- Transcription factors regulating the specification of brainstem respiratory neurons.Frontiers in molecular neuroscience · 2022Review
- Correlation Analysis of Synchronization Type and Degree in Respiratory Neural Network.Computational intelligence and neuroscience · 2021Article
- Insights into the dynamic control of breathing revealed through cell-type-specific responses to substance P.eLife · 2019Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
A central issue in the study of the neural generation of respiratory rhythms is the role of the intrinsic pacemaking capabilities that some respiratory neurons exhibit. The debate on this issue has occurred in parallel to investigations of interactions among respiratory network neurons and how these contribute to respiratory behavior. In this computational study, we demonstrate how these two issues are inextricably linked. We use simulations and dynamical systems analysis to show that once a conditional respiratory pacemaker, which can be tuned across oscillatory and non-oscillatory dynamic regimes in isolation, is embedded into a respiratory network, its 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. Furthermore, the outputs of the respiratory central pattern generator as a whole are invariant to these changes of dynamical properties, which ensures flexible and robust performance over a wide dynamic range.
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Registered trials
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