Search results for "FitzHugh–Nagumo model"

showing 7 items of 7 documents

Spatially localized solutions of the Hammerstein equation with sigmoid type of nonlinearity

2016

Abstract We study the existence of fixed points to a parameterized Hammerstein operator H β , β ∈ ( 0 , ∞ ] , with sigmoid type of nonlinearity. The parameter β ∞ indicates the steepness of the slope of a nonlinear smooth sigmoid function and the limit case β = ∞ corresponds to a discontinuous unit step function. We prove that spatially localized solutions to the fixed point problem for large β exist and can be approximated by the fixed points of H ∞ . These results are of a high importance in biological applications where one often approximates the smooth sigmoid by discontinuous unit step function. Moreover, in order to achieve even better approximation than a solution of the limit proble…

Heaviside step functionIterative methodApplied Mathematics010102 general mathematicsMathematical analysisSigmoid functionFixed point01 natural sciences010305 fluids & plasmasHamiltonian systemFunctional Analysis (math.FA)Mathematics - Functional AnalysisNonlinear systemsymbols.namesakeMathematics - Analysis of PDEs0103 physical sciencessymbolsFOS: MathematicsFitzHugh–Nagumo modelHomoclinic orbit0101 mathematicsAnalysisMathematicsAnalysis of PDEs (math.AP)
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Parameters analysis of FitzHugh-Nagumo model for a reliable simulation

2014

International audience; Derived from the pioneer ionic Hodgkin-Huxley model and due to its simplicity and richness from a point view of nonlinear dynamics, the FitzHugh-Nagumo model has been one of the most successful neuron / cardiac cell model. It exists many variations of the original FHN model. Though these FHN type models help to enrich the dynamics of the FHN model. The parameters used in these models are often in biased conditions. The related results would be questionable. So, in this study, the aim is to find the parameter thresholds for one of the commonly used FHN model in order to pride a better simulation environment. The results showed at first that inappropriate time step and…

Neurons[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingModels NeurologicalModels CardiovascularAction PotentialsOrder (ring theory)Relaxation (iterative method)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingType (model theory)Time stepCardiac cellNonlinear systemTheoretical physicsLinear relationshipNonlinear Dynamics[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingHumansApplied mathematicsMyocytes CardiacFitzHugh–Nagumo model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematics2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Analog simulation of neural information propagation using an electrical FitzHugh-Nagumo lattice

2004

International audience; A nonlinear electrical lattice modelling neural information propagation is presented. It is shown that our system is an analog simulator of the FitzHugh-Nagumo equations, and hence supports pulse propagation with the appropriate properties.

PhysicsInformation propagationQuantitative Biology::Neurons and CognitionGeneral MathematicsApplied MathematicsQuantitative Biology::Tissues and OrgansGeneral Physics and AstronomyStatistical and Nonlinear PhysicsFitzhugh nagumo01 natural sciences010305 fluids & plasmasPulse propagationNonlinear system[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Lattice (order)0103 physical sciences[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Statistical physicsFitzHugh–Nagumo model010306 general physicsNonlinear Sciences::Pattern Formation and Solitons
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Suppression of noise in FitzHugh–Nagumo model driven by a strong periodic signal

2005

Abstract The response time of a neuron in the presence of a strong periodic driving in the stochastic FitzHugh–Nagumo model is investigated. We analyze two cases: (i) the variable that corresponds to membrane potential is subjected to fluctuations, and (ii) the recovery variable associated with the refractory properties of a neuron is noisy. The influence of noise sources on the delay of the response of a neuron is analyzed. In both cases we observe a resonant activation-like phenomenon and suppression of noise: the negative effect of fluctuations on the process of spike generation is minimal near the resonance region. The phenomenon of noise enhanced stability is also observed in both case…

PhysicsPeriodic functionQuantitative Biology::Neurons and CognitionInitial phaseGeneral Physics and AstronomyResponse timeFitzHugh–Nagumo modelStatistical physicsStability (probability)Resonance (particle physics)Noise (electronics)Physics Letters A
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Pattern selection in the 2D FitzHugh–Nagumo model

2018

We construct square and target patterns solutions of the FitzHugh–Nagumo reaction–diffusion system on planar bounded domains. We study the existence and stability of stationary square and super-square patterns by performing a close to equilibrium asymptotic weakly nonlinear expansion: the emergence of these patterns is shown to occur when the bifurcation takes place through a multiplicity-two eigenvalue without resonance. The system is also shown to support the formation of axisymmetric target patterns whose amplitude equation is derived close to the bifurcation threshold. We present several numerical simulations validating the theoretical results.

PhysicsTuring instabilityApplied MathematicsGeneral MathematicsNumerical analysis010102 general mathematicsMathematical analysisSquare pattern01 natural sciencesSquare (algebra)010305 fluids & plasmasFitzHugh–Nagumo modelNonlinear systemAmplitudeBounded function0103 physical sciencesAmplitude equationMathematics (all)FitzHugh–Nagumo model0101 mathematicsEigenvalues and eigenvectorsBifurcationRicerche di Matematica
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Active spike responses of analog electrical neuron: Theory and experiments

2010

Using an analog electrical FitzHugh-Nagumo neuron including complex threshold excitation (CTE) properties, we analyze its spiking responses under pulse stimulation corresponding to oscillating threshold manifold. The system is subjected to outside pulse stimulus and can generate nonlinear integrate-and-flre and resonant responses which are typical for excitable neuronal cells ("all-or-none"). The answer of the neuron strongly depends on the number and the characteristics of incoming impulses (amplitude, width, strength and frequency). For certain parameters range, there is a possibility to trigger a spiking sequence with a finite number of spikes in response of a single short stimulus pulse…

Quantitative Biology::Neurons and CognitionStimulus (physiology)law.inventionNonlinear systemAmplitudemedicine.anatomical_structurelawControl theoryElectrical networkmedicineFitzHugh–Nagumo modelNeuronBiological systemBifurcationExcitationMathematicsProceedings of 2010 IEEE International Symposium on Circuits and Systems
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A theoretical approach of the propagation through geometrical constraints in cardiac tissue

2007

International audience; The behaviour of impulse propagation in the presence of non-excitable scars and boundaries is a complex phenomenon and induces pathological consequences in cardiac tissue. In this article, a geometrical con¯guration is considered so that cardiac waves propagate through a thin strand, which is connected to a large mass of cells. At this interface, waves can slow down or even be blocked depending on the width of the strand. We present an analytical approach leading to determine the blockade condition, by introducing planar travelling wavefront and circular stationary wave. Eventually, the in°uence of the tissue geometry is examined on the impulse propagation velocity.

Quantitative Biology::Tissues and Organs[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]Physics::Medical PhysicsBlockade phenomenon[MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]Geometry030204 cardiovascular system & hematologyImpulse (physics)Circular stationary waveStanding waveCardiac tissue.03 medical and health sciences0302 clinical medicinePlanar[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]FitzHugh–Nagumo model[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Engineering (miscellaneous)Cardiac tissue030304 developmental biologyWavefrontPhysicsTravelling wavefront0303 health sciencesApplied Mathematics[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Mechanics[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system[PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph][SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemModeling and Simulation[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]
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