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

doi:10.1109/WCICA.2012.6359416

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 proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages	4953-4956
Number of pages	4
DOIs	https://doi.org/10.1109/WCICA.2012.6359416
State	Published - 2012
Event	10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China Duration: Jul 6 2012 → Jul 8 2012

Publication series

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

Other

Other	10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/Territory	China
City	Beijing
Period	7/6/12 → 7/8/12

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Computer Science Applications

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10.1109/WCICA.2012.6359416

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). Article 6359416 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359416

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title = "Bifurcation control design for simplified HH neuron model: A physiological approach",

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.",

author = "Huiyan Li and Yanqiu Che and Jiang Wang and Qitao Jin and Bin Deng and Xile Wei and Feng Dong",

year = "2012",

doi = "10.1109/WCICA.2012.6359416",

language = "English (US)",

isbn = "9781467313988",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "4953--4956",

booktitle = "WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation",

note = "10th World Congress on Intelligent Control and Automation, WCICA 2012 ; Conference date: 06-07-2012 Through 08-07-2012",

}

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 et al.
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 proceeding › Conference contribution

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AU - Li, Huiyan

AU - Che, Yanqiu

AU - Wang, Jiang

AU - Jin, Qitao

AU - Deng, Bin

AU - Wei, Xile

AU - Dong, Feng

PY - 2012

Y1 - 2012

N2 - 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.

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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SN - 9781467313988

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 4953

EP - 4956

BT - WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation

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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)). doi: 10.1109/WCICA.2012.6359416

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

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