Evidence map›Paper›PMID 42465805›Full record

ArticleArXiv2026

A multi-ensemble mean-field reduction method for networks of globally coupled phase oscillators with arbitrary parameter distributions.

Richard Gast, Shotaro Takasu, Helmut Schmidt, Ann Kennedy

Abstract readPreprint
In one paragraph

Article in ArXiv, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Richard GastDepartment of Neuroscience, Scripps Research, San Diego, US.
Shotaro TakasuDepartment of Neuroscience, Scripps Research, San Diego, US.
Helmut SchmidtInstitute of Computer Science, Czech Academy of Sciences, Prague, CZ.
Ann KennedyDepartment of Neuroscience, Scripps Research, San Diego, US.

Funding

Neural circuits for social modulation of a persistent negative emotional stateRF1NS132912 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HONG, WEIZHE, ZHANG, LI I · 2023 to 2023
$3.2M
NINDS NIH HHS RF1 NS132912
6 · The paper itself

Abstract

Understanding the dynamical properties of coupled phase oscillator systems with heterogeneous oscillator frequencies has been a long-standing challenge of complex systems theory. While the seminal work of Ott and Antonsen dramatically improved our theoretical understanding of coupled phase oscillators for a small family of oscillator frequency distributions, we here present a mean-field reduction method for arbitrary frequency distributions. Our method leverages the drastic dimensionality reduction obtained for Lorentzian frequency distributions, and combines it with a data-driven multi-ensemble approach. As such, the method renders the Ott-Antonsen equations directly applicable to empirical distributions of phase oscillator frequencies, often achieving a drastic dimensionality reduction and allowing to study real-world physical and biological systems by means of stability, sensitivity, and bifurcation analyses.

Identifiers

PMID42465805
PMCPMC13370583

What Socratic holds

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LicenceCC BY
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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 Socratic graph.