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
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