DocumentCode
2777381
Title
Linear Analysis of the Central Pattern Generation Mechanism
Author
Seydnejad, Saeid
Author_Institution
Ottawa Heart Inst., Ottawa Univ., Ont.
fYear
2007
fDate
2-5 May 2007
Firstpage
477
Lastpage
480
Abstract
A new model is presented for the central pattern generation mechanism based on the integrate-and-fire (IF) model and the neuronal synaptic transfer function. Unlike the existing models which either use complex nonlinear equations or totally ignore the spike (action potential) generation mechanism of a real neuron, the new model presents a more realistic form of the CPG and its neuronal interactions. The most important feature of this model is that it converts the CPG to a linear network for further analysis despite the fact that the IF model is a nonlinear system. This particularly allows us to use well-known feedback theories to obtain the condition and frequency of oscillation in the burst activity of a CPG.
Keywords
feedback; neurophysiology; nonlinear equations; central pattern generation; complex nonlinear equations; feedback; integrate-and-fire model; linear analysis; neuronal synaptic transfer function; Animals; Biomembranes; Frequency; Linear systems; Neural engineering; Neurons; Nonlinear equations; Pattern analysis; Rhythm; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
Conference_Location
Kohala Coast, HI
Print_ISBN
1-4244-0792-3
Electronic_ISBN
1-4244-0792-3
Type
conf
DOI
10.1109/CNE.2007.369713
Filename
4227318
Link To Document