A direct method approach for data-driven inference of high accuracy adaptive phase-isostable reduced order models-Reference-Cited by-同舟云学术

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A direct method approach for data-driven inference of high accuracy adaptive phase-isostable reduced order models

Published:2023-04 Issue: Volume:446 Page:133675
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Wilson Dan^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference45 articles.

1. Chemical Oscillations, Waves, and Turbulence;Kuramoto,1984

2. The Geometry of Biological Time;Winfree,2001

3. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting;Izhikevich,2007

4. Mathematical Foundations of Neuroscience, Vol. 35;Ermentrout,2010

5. Globally coupled oscillator networks;Brown,2003

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1. On the Relation between Infinitesimal Shape Response Curves and Phase-Amplitude Reduction for Single and Coupled Limit-Cycle Oscillators;SIAM Journal on Applied Dynamical Systems;2024-06-21

2. Data-driven model identification using forcing-induced limit cycles;Physica D: Nonlinear Phenomena;2024-03

3. Phase-Amplitude Coordinate-Based Neural Networks for Inferring Oscillatory Dynamics;Journal of Nonlinear Science;2023-11-11

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