Bifurcation control design for simplified HH neuron model: A physiological approach

Huiyan Li, Yanqiu Che, Jiang Wang, Qitao Jin, Bin Deng, Xile Wei, Feng Dong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Neurons can encode identical stimulus input by generating non-identical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. However, the physiological basis of bifurcation control has not been clear. Here we design a wash-out filter bifurcation control from a physiological view. Then simplified HH model is selected to verify the proposed method. We finally derive the physiological basis of wash-out filter control is affecting the result of competition between currents with different dynamics in the sub-threshold potential.

Original languageEnglish (US)
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages4953-4956
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: Jul 6 2012Jul 8 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Other

Other10th World Congress on Intelligent Control and Automation, WCICA 2012
CountryChina
CityBeijing
Period7/6/127/8/12

Fingerprint

Neurons

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

Cite this

Li, H., Che, Y., Wang, J., Jin, Q., Deng, B., Wei, X., & Dong, F. (2012). Bifurcation control design for simplified HH neuron model: A physiological approach. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 4953-4956). [6359416] (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359416
Li, Huiyan ; Che, Yanqiu ; Wang, Jiang ; Jin, Qitao ; Deng, Bin ; Wei, Xile ; Dong, Feng. / Bifurcation control design for simplified HH neuron model : A physiological approach. WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. pp. 4953-4956 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).
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abstract = "Neurons can encode identical stimulus input by generating non-identical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. However, the physiological basis of bifurcation control has not been clear. Here we design a wash-out filter bifurcation control from a physiological view. Then simplified HH model is selected to verify the proposed method. We finally derive the physiological basis of wash-out filter control is affecting the result of competition between currents with different dynamics in the sub-threshold potential.",
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Li, H, Che, Y, Wang, J, Jin, Q, Deng, B, Wei, X & Dong, F 2012, Bifurcation control design for simplified HH neuron model: A physiological approach. in WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation., 6359416, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 4953-4956, 10th World Congress on Intelligent Control and Automation, WCICA 2012, Beijing, China, 7/6/12. https://doi.org/10.1109/WCICA.2012.6359416

Bifurcation control design for simplified HH neuron model : A physiological approach. / Li, Huiyan; Che, Yanqiu; Wang, Jiang; Jin, Qitao; Deng, Bin; Wei, Xile; Dong, Feng.

WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. p. 4953-4956 6359416 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Neurons can encode identical stimulus input by generating non-identical firing patterns of action potential sequence. The different firing patterns are resulting from different bifurcations from the dynamical viewpoint. However, the physiological basis of bifurcation control has not been clear. Here we design a wash-out filter bifurcation control from a physiological view. Then simplified HH model is selected to verify the proposed method. We finally derive the physiological basis of wash-out filter control is affecting the result of competition between currents with different dynamics in the sub-threshold potential.

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Li H, Che Y, Wang J, Jin Q, Deng B, Wei X et al. Bifurcation control design for simplified HH neuron model: A physiological approach. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012. p. 4953-4956. 6359416. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359416