Literature DB >> 28415236

Globally attracting synchrony in a network of oscillators with all-to-all inhibitory pulse coupling.

Carmen C Canavier1, Ruben A Tikidji-Hamburyan2.   

Abstract

The synchronization tendencies of networks of oscillators have been studied intensely. We assume a network of all-to-all pulse-coupled oscillators in which the effect of a pulse is independent of the number of oscillators that simultaneously emit a pulse and the normalized delay (the phase resetting) is a monotonically increasing function of oscillator phase with the slope everywhere less than 1 and a value greater than 2φ-1, where φ is the normalized phase. Order switching cannot occur; the only possible solutions are globally attracting synchrony and cluster solutions with a fixed firing order. For small conduction delays, we prove the former stable and all other possible attractors nonexistent due to the destabilizing discontinuity of the phase resetting at a phase of 0.

Entities:  

Year:  2017        PMID: 28415236      PMCID: PMC5568753          DOI: 10.1103/PhysRevE.95.032215

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  29 in total

1.  The influence of limit cycle topology on the phase resetting curve.

Authors:  Sorinel A Oprisan; Carmen C Canavier
Journal:  Neural Comput       Date:  2002-05       Impact factor: 2.026

2.  Synchronization in oscillator networks with delayed coupling: a stability criterion.

Authors:  Matthew G Earl; Steven H Strogatz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-03-17

3.  On the phase reduction and response dynamics of neural oscillator populations.

Authors:  Eric Brown; Jeff Moehlis; Philip Holmes
Journal:  Neural Comput       Date:  2004-04       Impact factor: 2.026

4.  Pulse-coupled relaxation oscillators: From biological synchronization to self-organized criticality.

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5.  Synchronization induced by temporal delays in pulse-coupled oscillators.

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Journal:  Phys Rev Lett       Date:  1995-02-27       Impact factor: 9.161

6.  Predicting mutual entrainment of oscillators with experiment-based phase models.

Authors:  István Z Kiss; Yumei Zhai; John L Hudson
Journal:  Phys Rev Lett       Date:  2005-06-20       Impact factor: 9.161

7.  Robust convergence in pulse-coupled oscillators with delays.

Authors:  Joel Nishimura; Eric J Friedman
Journal:  Phys Rev Lett       Date:  2011-05-11       Impact factor: 9.161

8.  Synaptic and intrinsic determinants of the phase resetting curve for weak coupling.

Authors:  Srisairam Achuthan; Robert J Butera; Carmen C Canavier
Journal:  J Comput Neurosci       Date:  2010-08-11       Impact factor: 1.621

9.  Short conduction delays cause inhibition rather than excitation to favor synchrony in hybrid neuronal networks of the entorhinal cortex.

Authors:  Shuoguo Wang; Lakshmi Chandrasekaran; Fernando R Fernandez; John A White; Carmen C Canavier
Journal:  PLoS Comput Biol       Date:  2012-01-05       Impact factor: 4.475

10.  Linear stability in networks of pulse-coupled neurons.

Authors:  Simona Olmi; Alessandro Torcini; Antonio Politi
Journal:  Front Comput Neurosci       Date:  2014-02-04       Impact factor: 2.380

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  2 in total

1.  Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.

Authors:  Ruben A Tikidji-Hamburyan; Conrad A Leonik; Carmen C Canavier
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

2.  Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input.

Authors:  Erick Olivares; Matthew H Higgs; Charles J Wilson
Journal:  J Comput Neurosci       Date:  2022-03-11       Impact factor: 1.453

  2 in total

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