Title |
Timescales and Mechanisms of Sigh-Like Bursting and Spiking in Models of Rhythmic Respiratory Neurons
|
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Published in |
The Journal of Mathematical Neuroscience, June 2017
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DOI | 10.1186/s13408-017-0045-5 |
Pubmed ID | |
Authors |
Yangyang Wang, Jonathan E. Rubin |
Abstract |
Neural networks generate a variety of rhythmic activity patterns, often involving different timescales. One example arises in the respiratory network in the pre-Bötzinger complex of the mammalian brainstem, which can generate the eupneic rhythm associated with normal respiration as well as recurrent low-frequency, large-amplitude bursts associated with sighing. Two competing hypotheses have been proposed to explain sigh generation: the recruitment of a neuronal population distinct from the eupneic rhythm-generating subpopulation or the reconfiguration of activity within a single population. Here, we consider two recent computational models, one of which represents each of the hypotheses. We use methods of dynamical systems theory, such as fast-slow decomposition, averaging, and bifurcation analysis, to understand the multiple-timescale mechanisms underlying sigh generation in each model. In the course of our analysis, we discover that a third timescale is required to generate sighs in both models. Furthermore, we identify the similarities of the underlying mechanisms in the two models and the aspects in which they differ. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Researcher | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Professor | 2 | 12% |
Other | 1 | 6% |
Other | 2 | 12% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 7 | 41% |
Mathematics | 3 | 18% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Physics and Astronomy | 1 | 6% |
Computer Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 24% |