DocumentCode
2556728
Title
Study on reduction algorithm in hippocampal neuron complex model
Author
He, Xiaoying ; Peng, Yueping ; Gao, Haiqing
Author_Institution
Sch. of Manage. & Econ., Xi´´an Technol. Univ., Xi´´an, China
fYear
2012
fDate
29-31 May 2012
Firstpage
178
Lastpage
182
Abstract
In the paper, based on the model reduction theory of neurodynamics and the polynomial regression algorithm, the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David[J Neurophysiol, 2006, 96: 1912-1926] is reduced by computer simulation, and the two-dimension reduced neuron model is obtained. This investigation provides a simple and convenient method to reduce the high dimension complex neuron model. And it is helpful to investigate deeply the high dimension complex neuron model´s dynamic characteristics and functions by the neurodynamic theory.
Keywords
brain models; neural nets; neurophysiology; regression analysis; CA1 pyramid neuron; computer simulation; high-dimension complex neuron model; hippocampal neuron complex model; model reduction theory; neurodynamics; nine-dimension one-compartment complex model; polynomial regression algorithm; reduction algorithm; Analytical models; Discharges (electric); Mathematical model; Neurodynamics; Neurons; Numerical models; Polynomials; algorithm; neurodynamics; reduced neuron model; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234537
Filename
6234537
Link To Document