Action potential initial mechanism control of a minimum model response to constant and sinusoidal stimulus

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

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

Abstract

Neuron encodes the information inputs from the dendrites by generating different firing patterns. The different firing patterns result from different action potential initial dynamic mechanisms. In this paper, we adopt a minimum neuron model, design the Wash-out filter from a physiological view, and achieve the transition between different action potential initial dynamic mechanisms. Finally, we demonstrate the physiological basis of Wash-out filter, which 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
Pages4948-4952
Number of pages5
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

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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). Action potential initial mechanism control of a minimum model response to constant and sinusoidal stimulus. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 4948-4952). [6359415] (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359415