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Strange nonchaotic dynamics in a discrete FitzHugh–Nagumo neuron model with sigmoidal recovery variable

Suresh Kumarasamy, A. R. Srinivasan, Mohanasubha Ramasamy, Karthikeyan Rajagopal

2022Chaos An Interdisciplinary Journal of Nonlinear Science15 citationsDOI

Abstract

We report the appearance of strange nonchaotic attractors in a discrete FitzHugh-Nagumo neuron model with discontinuous resetting. The well-known strange nonchaotic attractors appear in quasiperiodically forced continuous-time dynamical systems as well as in a discrete map with a small intensity of noise. Interestingly, we show that a discrete FitzHugh-Nagumo neuron model with a sigmoidal recovery variable and discontinuous resetting generates strange nonchaotic attractors without external force. These strange nonchaotic attractors occur as intermittency behavior (locally unstable behavior in laminar flow) in the periodic dynamics. We use various characterization techniques to validate the existence of strange nonchaotic attractors in the considered system.

Topics & Concepts

AttractorIntermittencyPhysicsBiological neuron modelChaoticDynamical systems theoryStatistical physicsSigmoid functionMathematicsMathematical analysisNeuronQuantum mechanicsComputer scienceMechanicsMachine learningNeuroscienceArtificial intelligenceTurbulenceBiologyArtificial neural networkstochastic dynamics and bifurcationNeural dynamics and brain functionQuantum chaos and dynamical systems
Strange nonchaotic dynamics in a discrete FitzHugh–Nagumo neuron model with sigmoidal recovery variable | Litcius