Title :
A parallel nonlinear-linear neuronal model
Author :
Bardakjian, Berj L. ; Karison, P. ; Courville, Aaron
Author_Institution :
Inst. of Biomed. Eng., Toronto Univ., Ont., Canada
Abstract :
Traditionally the electrical properties of neuronal membranes were modeled using a parallel combination of nonlinear and linear compartments representing the active and passive properties, respectively. In this study, the linear compartment was characterized by the first order Volterra kernel of the system, and the nonlinear compartment was represented by a static nonlinearity characterized by its current-voltage (I-V) relationship. The parallel nonlinear-linear (PNL) model was investigated using a system identification strategy based on the Volterra-Wiener approach to estimate the first order Volterra kernel of the system, and a network theoretic approach to estimate the I-V relationships of the two parallel compartments. The PNL model demonstrated the presence of an effective resistance that accounts for the loading effects of the higher order Volterra kernels on the linear compartment
Keywords :
bioelectric phenomena; biomembranes; electric resistance; neurophysiology; physiological models; Volterra-Wiener approach; active properties; current-voltage relationship; effective resistance; first order Volterra kernel; linear compartment; loading effects; nonlinear compartment; parallel nonlinear-linear neuronal model; passive properties; system identification strategy; Biomembranes; Ear; Estimation theory; Kernel; Marine vehicles; Morphology; Neurons; Nonlinear systems; System identification; White noise;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802474
