DocumentCode :
504782
Title :
Simultaneous parameter and input estimation of Hindmarsh-Rose neuron by adaptive observer
Author :
Totoki, Yusuke ; Ito, Ryuta ; Suemitsu, Haruo ; Matsuo, Takami
Author_Institution :
Dept. of Archit. & Mechatron., Oita Univ., Oita, Japan
fYear :
2009
fDate :
18-21 Aug. 2009
Firstpage :
4896
Lastpage :
4901
Abstract :
In this paper, we present an adaptive observer for a Hindmarsh-Rose (HR) neuron with the membrane potential measurement under the assumption that some of parameters in an individual HR neuron are known. Using the adaptive observers for a single HR neuron, we propose a simultaneous estimator of a parameter and the input current of a HR neuron. The procedure allows us to recover the internal states and to distinguish the firing patterns of the synaptically coupled HR neurons.
Keywords :
neural nets; observers; parameter estimation; Hindmarsh-Rose neuron; adaptive observer; membrane potential measurement; simultaneous parameter-input estimation; Biological system modeling; Biology computing; Biomembranes; Computational modeling; Electric variables measurement; Equations; Frequency synchronization; Neurons; Observers; Parameter estimation; Bursting; Lyapunov exponent; adaptive observer; spiking; synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
Type :
conf
Filename :
5334673
Link To Document :
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