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Active Disturbance Rejection Synchronization of Morris-Lecar Neurons
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wei, Wei& Shao, Yanjie& Zuo, Min. 2018. Active Disturbance Rejection Synchronization of Morris-Lecar Neurons. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1135893
Modern Language Association (MLA)
Wei, Wei…[et al.]. Active Disturbance Rejection Synchronization of Morris-Lecar Neurons. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1135893
American Medical Association (AMA)
Wei, Wei& Shao, Yanjie& Zuo, Min. Active Disturbance Rejection Synchronization of Morris-Lecar Neurons. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1135893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135893