JOURNAL ARTICLE

Controlling Synchronization of Modified FitzHugh-Nagumo Neurons under External Electrical Stimulation

Abstract

We report control of synchronization between pair of coupled neurons under external electrical stimulation. A nonlinear controlling mechanism is proposed for keeping the coupled system in synchronized state. We studied transitions between synchrony and asynchrony because of variation in coupling strength. We discuss the dynamical analysis for the Modified FitzHugh-Nagumo neuron model in detail. This work focuses the application of control system theory for understanding possible synchronization phenomena in a pair of biological neuron models.

Keywords:
Synchronization (alternating current) Asynchrony (computer programming) Control theory (sociology) Biological neuron model Computer science Mechanism (biology) Nonlinear system Coupling (piping) Neuron Stimulation Coupling strength Biological system Physics Neuroscience Control (management) Artificial intelligence Materials science Biology Telecommunications Quantum mechanics

Metrics

12
Cited By
1.52
FWCI (Field Weighted Citation Impact)
12
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

stochastic dynamics and bifurcation
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Neural dynamics and brain function
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
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