Firing pattern transition of fractional-order memristor-coupled Hindmarsh–Rose neurons model and its medical image encryption for region of interest
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s11071-024-09593-w.pdf
Reference48 articles.
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2. Xu, Q., Chen, X.J., Chen, B., Wu, H.G., Li, Z., Bao, H.: Dynamical analysis of an improved FitzHugh–Nagumo neuron model with multiplier-free implementation. Nonlinear Dyn. 111(9), 8737–8749 (2023). https://doi.org/10.1007/s11071-023-08274-4
3. Kusbeyzi Aybar, I.: Memristor-based oscillatory behavior in the FitzHugh–Nagumo and Hindmarsh–Rose models. Nonlinear Dyn. 103(3), 2917–2929 (2021). https://doi.org/10.1007/s11071-021-06231-7
4. Joshi, S.K.: Synchronization of coupled Hindmarsh–Rose neuronal dynamics: analysis and experiments. IEEE Trans. Circuits Syst. II Express Briefs 69(3), 1737–1741 (2021). https://doi.org/10.1109/tcsii.2021.3106400
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