2026-04-13T07:21:42Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4270712026-01-21T10:27:44Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Messee Goulefack, Linda author Masoller Alonso, Cristina author Yamapi, R. author Anteneodo, Celia author 2025-03-01 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. 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). Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia Non linear dynamics FitzHugh-Nagumo model Network analysis Numerical methods Neuroscience Membrane potential Neuron model Quantifying wave propagation in a chain of FitzHugh-Nagumo neurons