DocumentCode
300828
Title
A least-squares techniques for the identification of biological nonlinearities
Author
Wolodkin, Greg ; Poolla, Kameshwar
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
5
fYear
1995
fDate
21-23 Jun 1995
Firstpage
3562
Abstract
A method is presented for determining the static nonlinear mapping from input to firing-rate for a Poisson-type spike generator, based on input-output data. Under standard persistence of excitation conditions, the parametric estimate is shown to be strongly consistent
Keywords
bioelectric phenomena; least squares approximations; parameter estimation; stochastic processes; Poisson-type spike generator; biological nonlinearities; identification; least-squares techniques; standard persistence of excitation conditions; static nonlinear mapping; strongly consistent parametric estimate; Biological information theory; Biological systems; Ear; Frequency; Linear systems; Random variables; Sampling methods; Signal generators; Signal processing; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.533799
Filename
533799
Link To Document