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Active Disturbance Rejection Synchronization of Morris-Lecar Neurons

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  • Wei Wei
  • Yanjie Shao
  • Min Zuo

Abstract

Synchronization of biological neurons is not only a hot topic, but also a difficult issue in the field of bioelectrical physiology. Numerous reported synchronization algorithms are designed on the basis of neural model, but they have deficiencies like relatively complex and poor robustness and are difficult to be realized. Morris-Lecar neuron is considered, and linear active disturbance rejection control (LADRC) is designed. Only one control input signal is utilized to synchronize membrane potentials of biological neurons. Meanwhile, in order to verify the robustness of synchronization, sinusoidal signal and parameter perturbations are introduced in numerical simulations. LADRC can still achieve satisfactory synchronization. Both theoretical and numerical simulation results show that LADRC is capable of estimating and cancelling disturbances and uncertainties. Neither accurate neural models nor concrete disturbance signal models are indispensable. A more practical and effective thought is provided to address the synchronization between neurons.

Suggested Citation

  • Wei Wei & Yanjie Shao & Min Zuo, 2018. "Active Disturbance Rejection Synchronization of Morris-Lecar Neurons," Complexity, Hindawi, vol. 2018, pages 1-10, June.
    • Handle: RePEc:hin:complx:7656252
    DOI: 10.1155/2018/7656252
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    References listed on IDEAS

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    1. Nguyen, Le Hoa & Hong, Keum-Shik, 2011. "Synchronization of coupled chaotic FitzHugh–Nagumo neurons via Lyapunov functions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 590-603.
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