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Physics-informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics.

Overview

Authors: Mubasil P1, Prakash Mani1
ORCID iDs: Mubasil P
  1. Vellore Institute of Technology, Department of Mathematics, Vellore, 632014 India
Institutions: Vellore Institute of Technology University (India)
Journal: Scientific reports, volume 16, issue 1, article 20433
Dates: received 12 February 2026; accepted 13 April 2026; published online 3 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-49043-8 · PMID 42071023 · PMCID PMC13332016 · OpenAlex W7160124482
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: none (in silico) (organism), systems (subfield)
Methods: Spectral & time-frequency
Keywords: HR neuron model, Koopman operator, Physics informed lifting function, Fixed-Time synchronization, Engineering, Mathematics and computing, Physics
Topic: stochastic dynamics and bifurcation (Statistical and Nonlinear Physics, Physics and Astronomy), according to OpenAlex
Funding: Vellore Institute of Technology, Vellore
Citations: not cited yet (Europe PMC); 38 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-49043-8.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 7 keywords, 1 funder, 11 references.

Cite

This paper

P, M., & Mani, P. (2026). Physics-informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics. Scientific reports, 16(1), 20433. https://doi.org/10.1038/s41598-026-49043-8

BibTeX

@article{p2026physics,
author = {P, Mubasil and Mani, Prakash},
title = {{Physics-informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {20433},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-49043-8},
url = {https://doi.org/10.1038/s41598-026-49043-8},
pmid = {42071023},
pmcid = {PMC13332016}
}

RIS

TY - JOUR
AU - P, Mubasil
AU - Mani, Prakash
TI - Physics-informed Koopman learning approach for fixed-time synchronization of stochastic neural dynamics
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/03
VL - 16
IS - 1
SP - 20433
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-49043-8
UR - https://doi.org/10.1038/s41598-026-49043-8
LA - en
ER -

CSL-JSON

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