Modeling of memristor-based Hindmarsh-Rose neuron and its dynamical analyses using energy method
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Publication:2240392
DOI10.1016/j.apm.2021.09.003zbMath1481.92031OpenAlexW3200374065MaRDI QIDQ2240392
Publication date: 3 November 2021
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2021.09.003
memristorelectromagnetic inductionfiring patterngeneralized Hamiltonian functionband-limited white noiseMHR neuron model
Neural biology (92C20) Qualitative investigation and simulation of ordinary differential equation models (34C60)
Related Items (11)
Estimation of the effect of magnetic field on a memristive neuron ⋮ Dynamic analysis of HR-FN-HR neural network coupled by locally active hyperbolic memristors and encryption application based on Knuth-Durstenfeld algorithm ⋮ Nonlinear responses in a neural network under spatial electromagnetic radiation ⋮ Global dynamics of diffusive Hindmarsh-Rose equations with memristors ⋮ Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor ⋮ Synchronizability of multilayer star-ring networks with variable coupling strength ⋮ Estimate physical reliability in Hindmarsh-Rose neuron ⋮ Synchronization of memristive FitzHugh-Nagumo neural networks ⋮ Emergence of hidden dynamics in different neuronal network architecture with injected electromagnetic induction ⋮ Energy balance and synchronization via inductive-coupling in functional neural circuits ⋮ Hamilton energy, complex dynamical analysis and information patterns of a new memristive FitzHugh-Nagumo neural network
Uses Software
Cites Work
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