Anti-control of sine function-delay feedback for H-R neuron / 医用生物力学
Journal of Medical Biomechanics
;
(6): E233-E238, 2012.
Article
in Chinese
| WPRIM
| ID: wpr-803970
ABSTRACT
Objective To study the self-adaptive anti-control of a single H-R neuronal system transformed from periodic dynamics pattern to chaos. Methods Numerical analysis was performed by adding sine function self-delay feedback while coupling intensity and time-delay, respectively, as the control parameters. Results By numerical simulation and analysis, it was found that in a certain range of the combination of coupling intensity and time-delay, the time-interval sequences of the dynamical pattern of a single H-R neuronal system could be controlled from a periodical pattern of 3 spikes onto chaos and other periodical patterns. Conclusions The method of self-adaptive feedback of sine function is effective for the anti-control of H-R neuron, and the coupling intensity and time-delay are both important parameters. The particular self-adaptive dynamics of information identification to neuron is reflected in the control process.
Full text:
Available
Index:
WPRIM (Western Pacific)
Language:
Chinese
Journal:
Journal of Medical Biomechanics
Year:
2012
Type:
Article
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