Dynamics of excitatory networks of bursting pacemaking neurons: Modeling and experimental studies of the respiratory central pattern generator

We have explored the dynamics of a computational model of an excitatory network of bursting pacemaker neurons with heterogeneous properties. The network generates synchronous bursts of activity, and the frequency of both single cells and the synaptically coupled pacemaker cell population may be cont...

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Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 32; pp. 323 - 330
Main Authors Butera, R.J., Johnson, S.M., DelNegro, C.A., Rinzel, J., Smith, J.C.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2000
Subjects
Bioelectric potentials
Brain models
Cells
Frequency control
Mathematical models
Medulla
Pacemakers
Pattern generation
Pre-Bötzinger
Respiration
Medulla
Respiration
Pattern generation
Frequency control
Pre-Bötzinger
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Summary:We have explored the dynamics of a computational model of an excitatory network of bursting pacemaker neurons with heterogeneous properties. The network generates synchronous bursts of activity, and the frequency of both single cells and the synaptically coupled pacemaker cell population may be controlled by varying the degree of depolarizing input (DI). The dynamic range of DI where stable bursting occurs is significantly larger for the coupled population than that of individual cells, suggesting a functional role of cellular heterogeneity in making biological rhythms more robust. Experimental evidence is presented from the pacemaker-network generating the respiratory rhythm in the mammalian brainstem.
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ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(00)00181-8