ArticleJournal of computational neuroscience2022
Dynamics of ramping bursts in a respiratory neuron model.
Article in Journal of computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 1 citations in OpenAlex.
- A novel mechanism for ramping bursts based on slow negative feedback in model respiratory neurons.Chaos (Woodbury, N.Y.) · 2024Article
- Interdependence of cellular and network properties in respiratory rhythm generation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Interdependence of cellular and network properties in respiratory rhythmogenesis.bioRxiv : the preprint server for biology · 2023Article
- Predictions and experimental tests of a new biophysical model of the mammalian respiratory oscillator.eLife · 2022Article
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3 authors at 2 institutions in 1 country.
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Abstract
Intensive computational and theoretical work has led to the development of multiple mathematical models for bursting in respiratory neurons in the pre-Bötzinger Complex (pre-BötC) of the mammalian brainstem. Nonetheless, these previous models have not captured the pre-inspiratory ramping aspects of these neurons' activity patterns, in which relatively slow tonic spiking gradually progresses to faster spiking and a full-blown burst, with a corresponding gradual development of an underlying plateau potential. In this work, we show that the incorporation of the dynamics of the extracellular potassium ion concentration into an existing model for pre-BötC neuron bursting, along with some parameter adjustments, suffices to induce this ramping behavior. Using fast-slow decomposition, we show that this activity can be considered as a form of parabolic bursting, but with burst termination at a homoclinic bifurcation rather than as a SNIC bifurcation. We also investigate the parameter-dependence of these solutions and show that the proposed model yields a greater dynamic range of burst frequencies, durations, and duty cycles than those produced by other models in the literature.
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