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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533799
