Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO2Devices

Olivier Maher; Folkert Horst; Filip Sabo; Du Fancheng; Valeria Bragaglia; Siegfried Karg; Marilyne Sousa; Aida Todri-Sanial; Bert Jan Offrein

doi:10.1109/ESSERC62670.2024.10719575

Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO₂Devices

Olivier Maher
, Folkert Horst
, Filip Sabo
, Du Fancheng
, Valeria Bragaglia
, Siegfried Karg
, Marilyne Sousa
, Aida Todri-Sanial
, Bert Jan Offrein

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

15 Downloads (Pure)

Samenvatting

This study focuses on exploiting phase-transition properties in VO2 to develop a brain-inspired FitzHugh-Nagumo neuron. A key feature of our implementation is achieved through a self-coupling synapse that creates a neuron capable of generating complex firing patterns, such as mixed-mode oscillations. These oscillations hold promise for solving time-dependent computing problems. We study the advantages of coupling FitzHugh-Nagumo oscillators in terms of stability and circuit simplicity compared to Kuramoto-based relaxation oscillators. We show how they can excel in solving computational tasks, specifically in pattern recognition applications.

Originele taal-2	Engels
Titel	2024 IEEE European Solid-State Electronics Research Conference, ESSERC 2024
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	729-732
Aantal pagina's	4
ISBN van elektronische versie	979-8-3503-8813-8
DOI's	https://doi.org/10.1109/ESSERC62670.2024.10719575
Status	Gepubliceerd - 23 okt. 2024
Evenement	50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024 - Bruges, België Duur: 9 sep. 2024 → 12 sep. 2024

Congres

Congres	50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024
Land/Regio	België
Stad	Bruges
Periode	9/09/24 → 12/09/24

Toegang tot document

10.1109/ESSERC62670.2024.10719575

pdfDefinitieve gepubliceerde versie, 3,04 MB

Andere bestanden en links

Link naar publicatie in Scopus

PHASTRAC 101092096 IC:PHASE TRANSITION MATERIALS FORENERGY EFFICIENT EDGE COMPUTING
Todri-Sanial, A. (Project Manager), Almeida, A. (Projectmedewerker), Sanders, N. (Projectmedewerker), Sabo, F. (Projectmedewerker), Thielen, N. (Projectmedewerker), Honet, A. (Projectmedewerker), Lahkar, S. (Projectmedewerker), Mazumder, A. (Projectmedewerker), Vliegen, I. M. H. (Projectmedewerker), Gilsing, R. (Projectmedewerker), van Bodegraven, T. (Projectmedewerker) & Tas, S. (Projectmedewerker)
1/01/23 → 30/06/26
Project: Third tier

Citeer dit

Maher, O., Horst, F., Sabo, F., Fancheng, D., Bragaglia, V., Karg, S., Sousa, M., Todri-Sanial, A., & Offrein, B. J. (2024). Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO₂Devices. In 2024 IEEE European Solid-State Electronics Research Conference, ESSERC 2024 (blz. 729-732). Artikel 10719575 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ESSERC62670.2024.10719575

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title = "Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO2Devices",

abstract = "This study focuses on exploiting phase-transition properties in VO2 to develop a brain-inspired FitzHugh-Nagumo neuron. A key feature of our implementation is achieved through a self-coupling synapse that creates a neuron capable of generating complex firing patterns, such as mixed-mode oscillations. These oscillations hold promise for solving time-dependent computing problems. We study the advantages of coupling FitzHugh-Nagumo oscillators in terms of stability and circuit simplicity compared to Kuramoto-based relaxation oscillators. We show how they can excel in solving computational tasks, specifically in pattern recognition applications.",

author = "Olivier Maher and Folkert Horst and Filip Sabo and Du Fancheng and Valeria Bragaglia and Siegfried Karg and Marilyne Sousa and Aida Todri-Sanial and Offrein, \{Bert Jan\}",

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doi = "10.1109/ESSERC62670.2024.10719575",

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Maher, O, Horst, F, Sabo, F, Fancheng, D, Bragaglia, V, Karg, S, Sousa, M, Todri-Sanial, A & Offrein, BJ 2024, Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO₂Devices. in 2024 IEEE European Solid-State Electronics Research Conference, ESSERC 2024., 10719575, Institute of Electrical and Electronics Engineers, blz. 729-732, 50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024, Bruges, België, 9/09/24. https://doi.org/10.1109/ESSERC62670.2024.10719575

Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO₂Devices. / Maher, Olivier; Horst, Folkert; Sabo, Filip et al.
2024 IEEE European Solid-State Electronics Research Conference, ESSERC 2024. Institute of Electrical and Electronics Engineers, 2024. blz. 729-732 10719575.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Sabo, Filip

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AU - Karg, Siegfried

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AU - Offrein, Bert Jan

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AB - This study focuses on exploiting phase-transition properties in VO2 to develop a brain-inspired FitzHugh-Nagumo neuron. A key feature of our implementation is achieved through a self-coupling synapse that creates a neuron capable of generating complex firing patterns, such as mixed-mode oscillations. These oscillations hold promise for solving time-dependent computing problems. We study the advantages of coupling FitzHugh-Nagumo oscillators in terms of stability and circuit simplicity compared to Kuramoto-based relaxation oscillators. We show how they can excel in solving computational tasks, specifically in pattern recognition applications.

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