Evidence map›Paper›PMID 31656142›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2019

Recent advances in coupled oscillator theory.

Bard Ermentrout, Youngmin Park, Dan Wilson

Erratum issuedAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Collective Oscillations in Coupled-Cell Systems.Bulletin of mathematical biology · 2021
    Article
  6. Traveling waves in non-local pulse-coupled networks.Journal of mathematical biology · 2021
    Article
  7. Collective in-plane magnetization in a two-dimensional XY macrospin system within the framework of generalized Ott-Antonsen theory.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  8. Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Bard ErmentroutDepartment of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Youngmin ParkDepartment of Mathematics, Goldsmith 218 Mailstop 050, Brandeis University, 415 South Street Waltham, MA 02453, USA.
Dan WilsonDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA.

Funding

Quantitative Neuroscience: Tools for Bridging Levels of AnalysisT32NS007292 · NINDS · BRANDEIS UNIVERSITY · PI GINA G TURRIGIANO · 1986 to 2026
$12.7M
NINDS NIH HHS T32 NS007292
6 · The paper itself

Abstract

We review the theory of weakly coupled oscillators for smooth systems. We then examine situations where application of the standard theory falls short and illustrate how it can be extended. Specific examples are given to non-smooth systems with applications to the Izhikevich neuron. We then introduce the idea of isostable reduction to explore behaviours that the weak coupling paradigm cannot explain. In an additional example, we show how bifurcations that change the stability of phase-locked solutions in a pair of identical coupled neurons can be understood using the notion of isostable reduction. This article is part of the theme issue 'Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences'.

Indexed as

isostable coordinatesphase reductionweakly coupled oscillators

Identifiers

PMID31656142
PMCPMC7032540

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.