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The Fitzhugh-Nagumo equations have been used as a caricature of the Hodgkin-Huxley equations of neuron firing to better understand the essential dynamics of the interaction of the membrane potential and the restoring force and to capture,…

Neurons and Cognition · Quantitative Biology 2007-05-23 F. Berezovskaya , E. Camacho , S. Wirkus , G. Karev

We study a system of nonlinear differential equations simulating transport phenomena in active media. The model we are interested in is a generalization of the celebrated FitzHugh-Nagumo system, describing the nerve impulse propagation in…

Pattern Formation and Solitons · Physics 2019-05-07 Aleksandra Gawlik , Vsevolod Vladimirov , Sergii Skurativskyi

The use of high-frequency currents in neurostimulation has received increased attention in recent years due to its varied effects on tissues and cells. Nonlinear differential equations are commonly used as models for Neurons, and averaging…

Analysis of PDEs · Mathematics 2025-12-29 Eduardo Cerpa , Matías Courdurier , Esteban Hernández , Leonel E. Medina , Esteban Paduro

We study a system of differential equation simulating transport phenomena in active structured media. The model is a generalization of the McKean s modification of the celebrated FitzHugh--Nagumo system, describing the nerve impulse…

Mathematical Physics · Physics 2015-06-11 Wojciech Likus , Vsevolod A. Vladimirov

A commonly accepted feature of an excitable medium is that a local excitation leads to a propagation of circular or spiral excitation wave-fronts. This is indeed the case in fully excitable medium. However, with a decrease of an…

Emerging Technologies · Computer Science 2019-04-16 Andrew Adamatzky

Many multicellular communities propagate signals in a directed manner via excitable waves. Cell-to-cell heterogeneity is a ubiquitous feature of multicellular communities, but the effects of heterogeneity on wave propagation are still…

Biological Physics · Physics 2020-04-22 Xiaoling Zhai , Joseph W. Larkin , Gürol M. Süel , Andrew Mugler

We study reaction-diffusion waves on curved two-dimensional surfaces, and determine the influence of curvature upon the nucleation and propagation of spatially localized waves in an excitable medium modelled by the generic FitzHugh-Nagumo…

Pattern Formation and Solitons · Physics 2014-08-13 Frederike Kneer , Eckehard Schöll , Markus A. Dahlem

Propagation of pulses in myelinated fibers may be described by appropriate solutions of spatially discrete FitzHugh-Nagumo systems. In these systems, propagation failure may occur if either the coupling between nodes is not strong enough or…

Soft Condensed Matter · Physics 2009-03-08 A. Carpio , L. L. Bonilla

The Fitzhugh-Nagumo neuronal model is used to explore the influence of the electric field on thermosensitive neurons' dynamics. This study investigates how the electric field affects polarization modulation in cell media induced by changes…

Chaotic Dynamics · Physics 2025-02-13 Ediline L. F. Nguessap , Fernando F. Ferreira , Antonio C. Roque

We study the effects of nonlocal control of pulse propagation in excitable media. As a generic example for an excitable medium the FitzHugh-Nagumo model with diffusion in the activator variable is considered. Nonlocal coupling in form of an…

Pattern Formation and Solitons · Physics 2015-06-19 Clemens A. Bachmair , Eckehard Schöll

This article communicates results on regular depolarization cascades in periodically-kicked feedforward chains of excitable two-dimensional FitzHugh-Nagumo systems driven by sufficiently strong excitatory forcing at the front node. The…

Dynamical Systems · Mathematics 2021-12-21 B. Ambrosio , S. M. Mintchev

Temporal Interference Stimulation (TIS) is a non-invasive neuromodulation technique in which two high-frequency sinusoidal currents with slightly different frequencies generate a low-frequency envelope that can activate deep neural…

Dynamical Systems · Mathematics 2026-05-19 Esteban Paduro , Antoine Chaillet , Mario Sigalotti

We analyze the influence of an external sound source in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects. We report synchronization patterns, induced by the frequency of the…

Adaptation and Self-Organizing Systems · Physics 2021-05-04 Jakub Sawicki , Eckehard Schöll

In this article, we are interested in the behavior of a fully connected network of $N$ neurons, where $N$ tends to infinity. We assume that the neurons follow the stochastic FitzHugh-Nagumo model, whose specificity is the non-linearity with…

Probability · Mathematics 2024-02-14 Laetitia Colombani , Pierre Le Bris

Recent Brain-Machine Interfaces have shifted towards miniature devices that are constructed from nanoscale components. While these devices can be implanted into the brain, their functionalities can be limited, and will require communication…

Emerging Technologies · Computer Science 2019-11-04 Stefanus Wirdatmadja , Josep Miquel Jornet , Yevgeni Koucheryavy , Sasitharan Balasubramaniam

Despite intensive research, the mechanisms underlying how neurons encode external inputs remain poorly understood. Recent work has focused on the response of a single neuron to a weak, subthreshold periodic signal. By simulating the…

Neurons and Cognition · Quantitative Biology 2017-11-23 Maria Masoliver , Cristina Masoller

We examine traveling-wave solutions on a regular ring network with one additional long-range link that spans a distance d. The nodes obey the FitzHugh-Nagumo kinetics in the excitable regime. The additional shortcut induces a plethora of…

Adaptation and Self-Organizing Systems · Physics 2015-06-23 Thomas Isele , Benedikt Hartung , Philipp Hövel , Eckehard Schöll

The FitzHugh-Nagumo equation, originally conceived in neuroscience during the 1960s, became a key model providing a simplified view of excitable neuron cell behavior. Its applicability, however, extends beyond neuroscience into fields like…

Pattern Formation and Solitons · Physics 2025-01-08 Daniel Cebrián-Lacasa , Pedro Parra-Rivas , Daniel Ruiz-Reynés , Lendert Gelens

The paper addresses the problem of parameter estimation (or identification) in dynamical networks composed of an arbitrary number of FitzHugh-Nagumo neuron models with diffusive couplings between each other. It is assumed that only the…

Systems and Control · Electrical Eng. & Systems 2025-02-25 Aleksandra Rybalko , Alexander Fradkov

According to the conventional approach to model neural ensembles the extracellular environment has fixed ionic concentrations. However, in many cases the extracellular concentration of potassium ions can not be regarded as constant. That…

Disordered Systems and Neural Networks · Physics 2015-05-13 D. E. Postnov , F. Müller , R. B. Schuppner , L. Schimansky-Geier
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