Title :
Linear Analysis of the Central Pattern Generation Mechanism
Author :
Seydnejad, Saeid
Author_Institution :
Ottawa Heart Inst., Ottawa Univ., Ont.
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;
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
DOI :
10.1109/CNE.2007.369713