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Journal Article

Slow negative feedback enhances robustness of square-wave bursting

Sushmita Rose John; Bernd Krauskopf; Hinke M. Osinga; Jonathan E. Rubin
Journal of Computational Neuroscience · Vol. 51, Issue 2 · pp. 239-261 · 2023

Abstract

Square-wave bursting is an activity pattern common to a variety of neuronal and endocrine cell models that has been linked to central pattern generation for respiration and other physiological functions. Many of the reduced mathematical models that exhibit square-wave bursting yield transitions to an alternative pseudo-plateau bursting pattern with small parameter changes. This susceptibility to activity change could represent a problematic feature in settings where the release events triggered by spike production are necessary for function. In this work, we analyze how model bursting and other activity patterns vary with changes in a timescale associated with the conductance of a fast inward current. Specifically, using numerical simulations and dynamical systems methods, such as fast-slow decomposition and bifurcation and phase-plane analysis, we demonstrate and explain how the presence of a slow negative feedback associated with a gradual reduction of a fast inward current in these models helps to maintain the presence of spikes within the active phases of bursts. Therefore, although such a negative feedback is not necessary for burst production, we find that its presence generates a robustness that may be important for function.

Bibliographic Information

JournalJournal of Computational Neuroscience
PublisherSpringer
Publication Date2023-05-01
Publication Year2023
Volume51
Issue2
Pages239-261
Document TypeJournal Article
Print ISSN0929-5313
eISSN1573-6873
DOI10.1007/s10827-023-00846-y

Access Information

NARA Access Coverage1994-01-01~Current
Journal Homepagehttps://www.springer.com/journal/10827
Publisher PageOpen Publisher Page
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