Evidence map›Paper›PMID 31329071›Full record

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

Complex partial synchronization patterns in networks of delay-coupled neurons.

D Nikitin, I Omelchenko, A Zakharova, M Avetyan, A L Fradkov, E Schöll

Abstract 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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nonlinear dynamics of delay systems: an overview.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

D NikitinSaint Petersburg State University, Saint Petersburg, Russia.
I OmelchenkoInstitut für Theoretische Physik, Technische Universität Berlin, 10623 Berlin, Germany.
A ZakharovaInstitut für Theoretische Physik, Technische Universität Berlin, 10623 Berlin, Germany.
M AvetyanSaint Petersburg State University, Saint Petersburg, Russia.
A L FradkovSaint Petersburg State University, Saint Petersburg, Russia.
E SchöllInstitut für Theoretische Physik, Technische Universität Berlin, 10623 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the spatio-temporal dynamics of a multiplex network of delay-coupled FitzHugh-Nagumo oscillators with non-local and fractal connectivities. Apart from chimera states, a new regime of coexistence of slow and fast oscillations is found. An analytical explanation for the emergence of such coexisting partial synchronization patterns is given. Furthermore, we propose a control scheme for the number of fast and slow neurons in each layer. This article is part of the theme issue 'Nonlinear dynamics of delay systems'.

Indexed as

Models, NeurologicalComputer SimulationHumansNerve NetNeuronschimera statesdelay couplingmultiplex networksneural networks

Identifiers

PMID31329071
PMCPMC6661322

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.