Quantifying wave propagation in a chain of FitzHugh-Nagumo neurons

dc.contributor
Universitat Politècnica de Catalunya. Departament de Física
dc.contributor
Universitat Politècnica de Catalunya. DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers
dc.contributor.author
Messee Goulefack, Linda
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Masoller Alonso, Cristina
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Yamapi, R.
dc.contributor.author
Anteneodo, Celia
dc.date.issued
2025-03-01
dc.identifier
Messee, L. [et al.]. Quantifying wave propagation in a chain of FitzHugh-Nagumo neurons. "Chaos (Woodbury, N.Y.)", 1 Març 2025, vol. 35, núm. 3, article 033110.
dc.identifier
1054-1500
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https://hdl.handle.net/2117/427071
dc.identifier
10.1063/5.0239976
dc.description.abstract
Understanding how external stimuli propagate in neural systems is an important challenge in the fields of neuroscience and nonlinear dynamics. Despite extensive studies over several decades, this problem remains poorly understood. In this work, we examine a simple “toy model” of an excitable medium, a linear chain of diffusely coupled FitzHugh–Nagumo neurons, and analyze the transmission of a sinusoidal signal injected into one of the neurons at the ends of the chain. We measure to what extent the propagation of the wave reaching the opposite end is affected by the frequency and amplitude of the signal, the number of neurons in the chain, and the strength of their mutual diffusive coupling. To quantify these effects, we measure the cross correlation between the time series of the membrane potentials of the end neurons. This measure allows us to detect the values of the parameters that delimit different propagation regimes.
dc.description.abstract
L.M.G. acknowledges the Organization for Women Scientists for Developing World (OWSD Postgraduate Fellowship, Grant No. 3240318616) and Swedish International Development Cooperation Agency (SIDA) for financial support. C.A. acknowledges partial financial support from Brazilian agencies Conselho Nacional de Desenvolvimento Científico (CNPq, 311435/2020-3), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ, CNE E-26/204.130/2024) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, code 001). C. M. acknowledges partial financial support of Agència de Gestió d’Ajuts Universitaris i de Recerca (2021 SGR00606), the Institució Catalana de Recerca i Estudis Avançats (Academia), the Ministerio de Ciencia, Innovación y Universidades (PID2021-123994NB-C21) and the European Off ice of Aerospace Research and Development (FA8655-24-17022).
dc.description.abstract
Peer Reviewed
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Postprint (author's final draft)
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application/pdf
dc.language
eng
dc.publisher
Institute of Physics (IOP)
dc.relation
https://pubs.aip.org/aip/cha/article-abstract/35/3/033110/3338196/Quantifying-wave-propagation-in-a-chain-of?redirectedFrom=fulltext
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123994NB-C21/ES/EXPERIMENTOS Y ANALISIS DE DATOS PARA CARACTERIZAR Y PRONOSTICAR EL COMPORTAMIENTO DE SISTEMAS COMPLEJOS/
dc.rights
Open Access
dc.subject
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
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Non linear dynamics
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FitzHugh-Nagumo model
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Network analysis
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Numerical methods
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Neuroscience
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Membrane potential
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Neuron model
dc.title
Quantifying wave propagation in a chain of FitzHugh-Nagumo neurons
dc.type
Article


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