Spectral identification in networks of pulse-coupled oscillators

Marvyn Gulina; Alexandre Mauroy

Spectral identification in networks of pulse-coupled oscillators

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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Abstract

Spectral network identification aims at estimating the eigenvalues of the network Laplacian matrix from data. This framework allows to infer global network information (e.g., mean node degree, bounds on minimal and maximal degrees, etc.) from local observations at a small number of nodes. It was initially developed for networks of diffusive-coupled units and has not be used for applications that require other types of coupling. In this work, we fill this gap by considering spectral identification in the case of pulse-coupled oscillators, which is the prototypical model in neuroscience.

Original language	English
Title of host publication	42nd Benelux Meeting on Systems and Control
Subtitle of host publication	Book of Abstracts
Editors	Raffaella Carloni, Javier Alonso-Mora, Bayu Jayawardhana, Erjen Lefeber
Publisher	University of Groningen
Pages	35
Number of pages	1
ISBN (Electronic)	978-94-034-3010-2
Publication status	Published - 21 Mar 2023
Event	42nd Benelux Meeting on Systems and Control - Hotel Mennorode, Elspeet, Netherlands Duration: 21 Mar 2023 → 23 Mar 2023

Scientific committee

Scientific committee	42nd Benelux Meeting on Systems and Control
Abbreviated title	BMSC 2023
Country/Territory	Netherlands
City	Elspeet
Period	21/03/23 → 23/03/23

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https://www.beneluxmeeting.nl/2023/uploads/papers/boa.pdf

42nd Benelux Meeting on Systems and Control
Marvyn Gulina (Contributor)
21 Mar 2023
Activity: Participating in or organising an event types › Participation in conference

On the approximations of the Koopman operator and applications to spectral identification of networks
Author: Gulina, M., 3 Nov 2023
Supervisor: Mauroy, A. (Supervisor), Carletti, T. (Co-Supervisor), Winkin, J. (President), Hendrickx, J. (External person) (Jury) & Dietrich, F. (External person) (Jury)
Student thesis: Doc types › Doctor of Sciences

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title = "Spectral identification in networks of pulse-coupled oscillators",

abstract = "Spectral network identification aims at estimating the eigenvalues of the network Laplacian matrix from data. This framework allows to infer global network information (e.g., mean node degree, bounds on minimal and maximal degrees, etc.) from local observations at a small number of nodes. It was initially developed for networks of diffusive-coupled units and has not be used for applications that require other types of coupling. In this work, we fill this gap by considering spectral identification in the case of pulse-coupled oscillators, which is the prototypical model in neuroscience.",

author = "Marvyn Gulina and Alexandre Mauroy",

year = "2023",

month = mar,

day = "21",

language = "English",

pages = "35",

editor = "Raffaella Carloni and Javier Alonso-Mora and Bayu Jayawardhana and Erjen Lefeber",

booktitle = "42nd Benelux Meeting on Systems and Control",

publisher = "University of Groningen",

note = "42nd Benelux Meeting on Systems and Control, BMSC 2023 ; Conference date: 21-03-2023 Through 23-03-2023",

}

Gulina, M & Mauroy, A 2023, Spectral identification in networks of pulse-coupled oscillators. in R Carloni, J Alonso-Mora, B Jayawardhana & E Lefeber (eds), 42nd Benelux Meeting on Systems and Control : Book of Abstracts. University of Groningen, pp. 35, 42nd Benelux Meeting on Systems and Control, Elspeet, Netherlands, 21/03/23. <https://www.beneluxmeeting.nl/2023/uploads/papers/boa.pdf>

Spectral identification in networks of pulse-coupled oscillators. / Gulina, Marvyn ; Mauroy, Alexandre.
42nd Benelux Meeting on Systems and Control : Book of Abstracts. ed. / Raffaella Carloni; Javier Alonso-Mora; Bayu Jayawardhana; Erjen Lefeber. University of Groningen, 2023. p. 35.

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Spectral identification in networks of pulse-coupled oscillators

AU - Gulina, Marvyn

AU - Mauroy, Alexandre

PY - 2023/3/21

Y1 - 2023/3/21

N2 - Spectral network identification aims at estimating the eigenvalues of the network Laplacian matrix from data. This framework allows to infer global network information (e.g., mean node degree, bounds on minimal and maximal degrees, etc.) from local observations at a small number of nodes. It was initially developed for networks of diffusive-coupled units and has not be used for applications that require other types of coupling. In this work, we fill this gap by considering spectral identification in the case of pulse-coupled oscillators, which is the prototypical model in neuroscience.

AB - Spectral network identification aims at estimating the eigenvalues of the network Laplacian matrix from data. This framework allows to infer global network information (e.g., mean node degree, bounds on minimal and maximal degrees, etc.) from local observations at a small number of nodes. It was initially developed for networks of diffusive-coupled units and has not be used for applications that require other types of coupling. In this work, we fill this gap by considering spectral identification in the case of pulse-coupled oscillators, which is the prototypical model in neuroscience.

M3 - Conference contribution

SP - 35

BT - 42nd Benelux Meeting on Systems and Control

A2 - Carloni, Raffaella

A2 - Alonso-Mora, Javier

A2 - Jayawardhana, Bayu

A2 - Lefeber, Erjen

PB - University of Groningen

T2 - 42nd Benelux Meeting on Systems and Control

Y2 - 21 March 2023 through 23 March 2023

ER -

Spectral identification in networks of pulse-coupled oscillators

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42nd Benelux Meeting on Systems and Control

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On the approximations of the Koopman operator and applications to spectral identification of networks

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