Title :
Parameter Estimation of Biological Neuron Models with Bursting and Spiking
Author :
Fujikawa, Hiroyuki ; Mitsunaga, Kouichi ; Suemitsu, Haruo ; Matsuo, Takami
Author_Institution :
Department of Human Wel., Oita Univ.
Abstract :
In this brief, we present an estimator of the parameters of the Hindmarsh-Rose model using an adaptive observer. This estimator allows us to distinguish the firing patterns with early-time dynamic behaviors. The MATLAB simulations demonstrate the estimation performance of the proposed adaptive observer
Keywords :
bioelectric phenomena; biology computing; cellular biophysics; digital simulation; mathematics computing; neural nets; observers; parameter estimation; physiological models; Hindmarsh-Rose model; MATLAB simulations; adaptive observer; biological neuron models; bursting model; early-time dynamic behaviors; firing patterns; parameter estimation; spiking model; Biological system modeling; Computational modeling; Electric variables measurement; Electronic mail; Fires; MATLAB; Mathematical model; Neurons; Parameter estimation; Steady-state; Hindmarsh-Rose model; adaptive observer; tonic bursting; tonic spiking;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315033
