Literature DB >> 17025482

Bursting induced by excitatory synaptic coupling in nonidentical conditional relaxation oscillators or square-wave bursters.

Jonathan E Rubin1.   

Abstract

This work explains a mechanism through which the introduction of excitatory synaptic coupling between two model cells, one of which is excitable and the other of which is tonically active when uncoupled, leads to bursting in the resulting two-cell network. This phenomenon can arise when the individual cells are conditional relaxation oscillators, in that they can be tuned to engage in relaxation oscillations, or when they are conditional square-wave bursters. The mechanism is illustrated with a model for conditional pacemaker neurons in the pre-Bötzinger complex as well as with a reduced form of this model. In the relaxation oscillator case, a periodic bursting solution is proved to exist in the singular limit, under a pair of general conditions. These conditions relate the durations of the silent and active phases of the bursting solution to the locations of certain structures in the phase plane, at appropriate synaptic input strengths. Further, additional conditions on the relative flow rates in the silent and active phases are proved to imply the uniqueness and asymptotic stability of the bursting solution.

Mesh:

Year:  2006        PMID: 17025482     DOI: 10.1103/PhysRevE.74.021917

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Calcium-activated nonspecific cation current and synaptic depression promote network-dependent burst oscillations.

Authors:  Jonathan E Rubin; John A Hayes; Jeffrey L Mendenhall; Christopher A Del Negro
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-05       Impact factor: 11.205

2.  Dynamics of in-phase and anti-phase bursting in the coupled pre-Bötzinger complex cells.

Authors:  Lixia Duan; Jing Liu; Xi Chen; Pengcheng Xiao; Yong Zhao
Journal:  Cogn Neurodyn       Date:  2016-09-12       Impact factor: 5.082

Review 3.  Computational models and emergent properties of respiratory neural networks.

Authors:  Bruce G Lindsey; Ilya A Rybak; Jeffrey C Smith
Journal:  Compr Physiol       Date:  2012-07       Impact factor: 9.090

4.  A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: I. Rhythm generation.

Authors:  Lucy E Spardy; Sergey N Markin; Natalia A Shevtsova; Boris I Prilutsky; Ilya A Rybak; Jonathan E Rubin
Journal:  J Neural Eng       Date:  2011-11-04       Impact factor: 5.379

5.  Interactions of persistent sodium and calcium-activated nonspecific cationic currents yield dynamically distinct bursting regimes in a model of respiratory neurons.

Authors:  Justin R Dunmyre; Christopher A Del Negro; Jonathan E Rubin
Journal:  J Comput Neurosci       Date:  2011-01-15       Impact factor: 1.621

6.  Two types of independent bursting mechanisms in inspiratory neurons: an integrative model.

Authors:  Natalia Toporikova; Robert J Butera
Journal:  J Comput Neurosci       Date:  2010-09-14       Impact factor: 1.621

7.  Control of oscillation periods and phase durations in half-center central pattern generators: a comparative mechanistic analysis.

Authors:  Silvia Daun; Jonathan E Rubin; Ilya A Rybak
Journal:  J Comput Neurosci       Date:  2009-01-06       Impact factor: 1.621

8.  Managing heterogeneity in the study of neural oscillator dynamics.

Authors:  Carlo R Laing; Yu Zou; Ben Smith; Ioannis G Kevrekidis
Journal:  J Math Neurosci       Date:  2012-03-14       Impact factor: 1.300

9.  The interaction of intrinsic dynamics and network topology in determining network burst synchrony.

Authors:  Chris Gaiteri; Jonathan E Rubin
Journal:  Front Comput Neurosci       Date:  2011-02-18       Impact factor: 2.380

10.  Conditions for Multi-functionality in a Rhythm Generating Network Inspired by Turtle Scratching.

Authors:  Abigail C Snyder; Jonathan E Rubin
Journal:  J Math Neurosci       Date:  2015-07-17       Impact factor: 1.300

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.