DocumentCode :
578343
Title :
Bifurcation control design for simplified HH neuron model: A physiological approach
Author :
Li, Huiyan ; Che, Yanqiu ; Wang, Jiang ; Jin, Qitao ; Deng, Bin ; Wei, Xile ; Dong, Feng
Author_Institution :
Sch. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
4953
Lastpage :
4956
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.
Keywords :
bifurcation; bioelectric potentials; filtering theory; neural nets; neurophysiology; pattern formation; physiological models; identical stimulus input encoding; nonidentical firing pattern generation; physiological approach; simplified HH neuron model; subthreshold potential; wash-out filter bifurcation control design; Bifurcation; Electric potential; Firing; Mathematical model; Neurons; Physiology; Bifurcation control; physiological basis; sub-threshold current competition; wash-out filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359416
Filename :
6359416
Link To Document :
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